🏢 Summary: NVIDIA is seeking a Sr. Global Commodity Manager to lead strategic sourcing and commodity management for Semiconductor in Boards and Systems Supply Chain Group. The role involves developing global sourcing strategies, ensuring supply assurance, and improving component quality and gross margins. The candidate will negotiate agreements, manage supplier relationships, and drive innovation in product development processes. 🗂️ Requirements: BS in Business, Industrial Engineering, Supply Chain Management or equivalent experience, MBA Preferred, Minimum of 8+ years experience in global commodity management, Deep understanding of Power Semiconductor technology, market, manufacturing process, cost drivers and supply landscape, Strong analytical skills, Excellent negotiation and leadership skills, Excellent communication and influencing skills, High degree of integrity, initiative, and attention to detail, Technical experience to complement strong program management skills 📃 Skills: Semiconductor, Sourcing, Supply Chain, Negotiation, Supplier Management, Cost Modeling, Quotation Analysis, Supply/Demand Analysis, Leadership, Communication, Integrity, Attention to Detail, Program Management 🏢 Description: NVIDIA is looking for a Sr. Global Commodity Manager to join our Global Commodity Management Group. Ideal candidate will own strategic sourcing and commodity management of Semiconductor in Boards and Systems Supply Chain Group. This position develops, directs, and influences the global sourcing and commodity strategies that deliver significant value in the supply chain through sourcing strategies, supply assurance, component quality, and gross margin improvements.What you’ll be doing:The Global Commodity Manager (GCM) is a critical part of NVIDIA product development process and is responsible for formulating, communicating and carrying out the Semiconductor commodity sourcing strategy. The GCM needs to build strong internal relationships with NVIDIA multi-functional teams. Responsibilities include:Build cross-functional alignment with Hardware engineering to identify commodity sourcing strategies with the supply base capable of meeting NVIDIA business segment requirements for Boards and System Supply Chain.Develop and handle supplier relationships and conduct business reviews that improve suppliers value, performance, and account investments through aligned roadmapsNegotiate Master Service Agreement, cost reduction strategies and maintain lead-time, cost systems and split of business decisionsAccountable for component supply assurance and inventory flexibility programs that increase flexibility and minimize liabilitiesDeliver a supplier risk management system, BOM risk reduction solutions, materials risk mitigation strategies and maintaining data integrity to ensure supply resiliency.Resolve impediments to production readiness and to support in execution during productionEnable early supplier involvement to bring innovation from the industry to deliver innovation on SOL (Speed of Light) project schedulesConcentrated effort in NPI to achieve industry leading time-to-market, establishing supplier selection criteria, alternative suppliers, qualify new suppliers, be responsible for the RFQ process, and drive supplier selection in partnership with EngineeringWhat we need to see:BS in Business, Industrial Engineering, Supply Chain Management (or equivalent experience). MBA PreferredMinimum of 8+ years experience in global commodity management and consistent record in running Semiconductor Supply BaseDeep understanding of Power Semiconductor technology, market, manufacturing process, cost drivers and supply landscapeAbility to be innovative in issues related to strategic sourcing, supplier relations, supplier performance measurement systemStrong analytical skills such as cost modeling, quotation analysis, supplier selection and supply/demand analysisExcellent negotiation and leadership skills in supplier management and contract negotiation.Excellent communication and influencing skills dealing with supply base executivesHigh degree of integrity, initiative, and attention to detail in a collaborative environmentTechnical experience to compliment strong program management skills is a plusWith competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most thoughtful and talented people in the world working for us. Due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until October 16, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

🏢 Summary: Direct the manufacturing process of AI accelerator boards, collaborating with multiple teams, and manage new product operations from development introduction to production deployment. Develop program management frameworks for successful introduction of graphics-centric server products, coordinating operational results from prototypes to production release. Collaborate with planning, product engineering, and manufacturing engineering teams to ensure smooth rollout of new servers and minimize risks. 🗂️ Requirements: 12+ years of related experience in product management/production in L10/L11 server space, Relevant work experience in technical program, project, or product management role in the server space, Leadership skills, Proficient presentation skills, Pragmatic problem-solving skills, BS degree or equivalent experience in Electrical or Mechanical Engineering 📃 Skills: program management, product management, project management, server space, presentation, problem-solving, hardware development, software development, factory production, test strategies, operational environments, cloud-based products 🏢 Description: NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s fueled by great technology—and remarkable individuals. Direct the manufacturing process of AI accelerator boards, collaborating with multiple teams. Collaborate with NVIDIA's Data Center Operations team to manage crucial accomplishments in new product operations, from Development introduction to Production deployment. The product portfolio encompasses HGX GPU accelerators, DGX GPU/CPU products, and L11 cluster solutions.What you'll be doing:Developing the program management framework and methods to ensure the successful introduction of L6 – L11 graphics-centric server products from inception to production release.Coordinating and monitoring operational results for new systems from initial prototypes to the release in production.Working closely with planning, product engineering, and manufacturing engineering teams to guarantee the smooth rollout of our new servers and offering strategies to minimize risk.Regularly updating product bring-up status to the executive team.Coordinating the supply chain and manufacturing plan of record.Maintaining project budgets and tracking procurement and delivery of bring-up hardware to facilitate the engineering teams.Aligning System Baseboard/Server availability for internal and external customers during the NPI phase.Tracking reliability, qualification, product certification, and manufacturing readiness gates across the engineering and CEM production teams.Aligning manufacturing and test assumptions and providing program management support for the initial production ramp plan.What we need to see:12+ years of related experience in product management/production in L10/L11 server space.Relevant work experience in technical program, project, or product management role in the server space preferred.Leadership – ability to influence and drive the accurate behaviors and to make and defend solid data-driven decisions.Proficient presentation skills: Ability to elaborate and clearly communicate the status of projects to all levels of the organization.Pragmatic problem-solving skills, using out-of-the-box thinking or escalating, as the need arises.An organized individual who operates well in an environment with high levels of uncertainty and can thrive and adapt to a fast pace.BS degree or equivalent experience in Electrical or Mechanical Engineering preferred.Ways to stand out from the crowd:Demonstrable experience running large and sophisticated projects to challenging schedules.Good examples of problem-solving skills!Technical depth in hardware and software development.Knowledge of factory production techniques and test strategies.Experience in operational environments as well as background with delivering products to Cloud-based customers.With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most thoughtful and talented people in the world working for us. Due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until October 16, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

🏢 Summary: This role involves leading machine learning performance optimization at Google, focusing on efficiency for AI workloads using deep fleet-scale analysis and auto-optimizations. The position requires managing project priorities, deadlines, and deliverables, and collaborating cross-functionally to solve performance problems. Responsibilities include scaling numeric and algorithmic optimizations, analyzing performance metrics, and implementing solutions at scale. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 8 years of experience in software development, Experience with data structures/algorithms, 5 years of experience testing and launching software products, 3 years of experience with software design and architecture, 5 years of experience leading ML design and optimizing ML infrastructure, Experience with embedded systems or lower level software stacks, Experience with ML infrastructure or compilers, Master’s degree or PhD in Engineering, Computer Science, or related field, Experience in a technical leadership role, Experience with performance analysis and optimization, Experience with machine learning systems 📃 Skills: software development, data structures, algorithms, software testing, software design, ML design, ML infrastructure, embedded systems, compilers, performance analysis, optimization, machine learning 🏢 Description: Minimum qualifications: Bachelor’s degree or equivalent practical experience.8 years of experience in software development, and with data structures/algorithms.5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).5 years of experience with one or more of the following: embedded system or lower level Software stacks (e.g., networking, storage, etc.), ML infrastructure, Compilers (e.g. XLA), or specialization in another ML field. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field.3 years of experience working in a matrixed organization involving cross-functional, or cross-business projects.3 years of experience in a technical leadership role leading project teams and setting technical direction.Experience with performance analysis and optimization such as system architecture, performance modeling, or related.Experience with machine learning systems (e.g, background theory, and other tools).Experience with compiler optimizations or related fields.About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. In this role, you will be responsible for extracting maximum efficiency for machine learning and AI workloads. You will lead Google ML performance to state-of-the-art using deep fleet-scale and benchmark analysis and out-of-the-box auto-optimizations You will focus on performance analysis to identify performance opportunities in Google production and research ML workloads and land optimizations to the entire fleet. Your work demonstrates cutting edge ML performance on largest scale and latest accelerators at MLPerf competition. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google.Responsibilities Identify and maintain LLM training and serving benchmarks that are representative to Google production, used by industry and ML community to identify performance opportunities and drive JAX TPU performance.Work on scaling numeric and algorithmic optimizations to Google products and ML models. For example, quantization, sparsity, and other model compression techniques, new ML model architecture/optimizer/training techniques to solve ML tasks more efficiently, or new techniques to reduce the label/unlabeled ML data needed to train a model to target accuracy.Collaborate cross-functionally to solve LLM performance problems. For example, on-boarding new LLM models and products on Google new TPU hardware, enabling LLMs to train efficiently on a very large scale (i.e., thousands of TPUs), etc.Analyze performance and efficiency metrics to identify bottlenecks, design, and implement solutions at scale.

🏢 Summary: NVIDIA is seeking a Commodity Manager to lead strategic sourcing and management of Connectors, Cables, and Optical technologies within the Boards and Systems Supply Chain Group. The role involves developing global sourcing strategies, managing supplier relationships, and ensuring supply chain resiliency. The position requires collaboration with cross-functional teams and delivering innovative solutions to achieve industry-leading time-to-market. 🗂️ Requirements: BS in Business, Industrial Engineering, Supply Chain Management, Mechanical Engineering or Electrical Engineering, Minimum of 8+ years' experience in global commodity management, Proven track record in managing connector, cable, and optics Supply Base, Deep understanding of connector, cable, and optics technology, Strong analytical skills, Ability to incorporate AI tools, Excellent negotiation and leadership skills, Excellent communication and influencing skills, High degree of integrity, initiative, and attention to detail 📃 Skills: Strategic sourcing, Supplier relations, Cost modeling, Quotation analysis, Supply/demand analysis, AI tools, Negotiation, Leadership, Communication, Program management 🏢 Description: NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. NVIDIA is looking for a Commodity Manager to join our Global Commodity Management Group. The ideal candidate will own strategic sourcing and commodity management of Connectors, Cables, and Optical technologies in the Boards and Systems Supply Chain Group.  This position develops, directs, and influences global sourcing and commodity strategies that deliver significant value in the supply chain through sourcing strategies, supply assurance, component quality, and gross margin improvements.What you’ll be doing:The Global Commodity Manager (GCM) is a critical part of NVIDIA product development process and is responsible for formulating, communicating, and executing the connector and cable commodity sourcing strategies. The GCM must establish strong internal relationships with NVIDIA cross functional teams.  Responsibilities include:Build cross-functional alignment with Hardware, Electrical, and Mechanical engineering to identify commodity sourcing strategies to enable NVIDIA business segment requirements for Boards and System Supply Chain.Develop and manage supplier relationships and conduct supplier business reviews that improve suppliers value, performance, and account investments through aligned roadmapsNegotiate Master Service Agreements, cost reduction strategies, and maintain lead-time, cost systems, and split of business decisionsDeliver a supplier risk management system, BOM risk reduction solutions, materials risk mitigation strategies, and maintaining data integrity to ensure supply resiliencyRationalize and reduce the number of components and suppliers to capture synergies and reduce risk due to demand fluctuationEnable early supplier involvement to bring innovation from the industry to deliver innovation on SOL (Speed of Light) project schedulesConcentrated effort in NPI to achieve industry leading time-to-market, establishing supplier selection criteria, alternative suppliers, qualify new suppliers, own the RFQ process, and drive supplier selection in partnership with EngineeringProvide complex capacity planning to support high volume ramp during NPI stages, informing Engineering and Management of any supply risks to Pre-release schedules, while also developing and enabling production and scale strategies for sustaining product and commodity growth to drive cost, lead time, continuity of supply, and risk mitigation leadership.What we need to see:BS in Business, Industrial Engineering, Supply Chain Management, Mechanical Engineering or Electrical Engineering or equivalent experience. MBA Preferred.Minimum of 8+ years' experience in global commodity management and proven track record in managing connector, cable, and optics Supply BaseDeep understanding of connector, cable, and optics technology, market, manufacturing process, cost drivers and supply landscapeAbility to be innovative with issues related to strategic sourcing, supplier relations, and supplier performance measurement systemsStrong analytical skills such as cost modeling, quotation analysis, supplier selection, and supply/demand analysisAbility to incorporate AI tools to enhance supply chain and sourcing analysis, data integrity, and decision makingExcellent negotiation and leadership skills in supplier management and contract negotiation.Excellent communication and influencing skills dealing with supply base executivesHigh degree of integrity, initiative, and attention to detail in a collaborative environmentTechnical experience to compliment strong program management skills is preferredWith highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, with a genuine passion for technology, we want to hear from you.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until October 16, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

🏢 Summary: Join NVIDIA's production planning team to lead CM production planning across NALA manufacturing partners, collaborating with global peers to align production plans and drive process improvements. The role involves resolving supply constraints, leading risk assessments, and fostering a culture of ownership and continuous learning within the team. Competitive salary and benefits are offered, with opportunities for equity and professional growth. 🗂️ Requirements: BS/BA in Industrial Engineering, Operations, Supply Chain, or related field, 8+ years experience in supply chain, manufacturing, or production planning, 3+ years overseeing or guiding a team of planners, Strong leadership presence, Proficiency in ERP systems (SAP / APO / S4 HANA), Track record of process improvement 📃 Skills: ERP, SAP, APO, S4 HANA, MRP, Inventory Management, Capacity Scheduling, Factory Scheduling 🏢 Description: NVIDIA is widely regarded as one of the technology world's most sought-after employers. We have some of the most forward-thinking and dedicated individuals in the world working for us. Our technology influences the visual experience in video game development, film production, deep learning, space exploration, medicine, computational finance, and automotive development. And we've only just begun to explore what we can achieve when we apply our technology to these fields. We are looking for passionate, creative, and exceptionally experienced individuals to join us in seizing these great opportunities.Join the NVIDIA production planning team to interact with supply & demand planning teams, contract manufacturing, factory operations, and other supply chain teams.What you'll be doing:Lead CM production planning across NALA manufacturing partners, bridging factory operations with global supply/ demand planning, logistics, and other functional teams.Support in resolving supply constraints, production delays, or material shortages; collaborate with CM, factory operations, engineering, and others on recovery plans with clear communication.Lead risk assessment reviews to anticipate capacity, material, and quality challenges, aligning with cross-functional teams to evaluate trade-offs and protect critical delivery schedules.Actively collaborate with global peers in APAC, EMEA, and US to align production plans, drive consignment dependencies, and standardize guidelines across manufacturing sites and product lines.Lead and support a team of planners, offering guidance, support, and feedback to enhance technical expertise, business insight, and collaboration across functions.Foster a culture of ownership, continuous learning, and problem-solving within the planning team—balancing long-term skill development with day-to-day operational excellence.Take an active role in in-depth planning activities, demonstrating a hands-on leadership approach and aiding the team in addressing intricate issues.Drive process and system improvement initiatives, report automation, and analytics enablement to support data-driven decision-making and global scalability.Collaborate with IT and operations to improve planning tools and system workflows (SAP, S4/HANA, Power BI) that streamline CM visibility and decision-making.What we need to see:BS/BA in Industrial Engineering, Operations, Supply Chain, or related field (or equivalent experience); MBA preferred.8+ overall years experience in supply chain, manufacturing, or production planning in contract manufacturing.Overseeing, supervising, or guiding a team of planners or individual contributors for at least 3 years, showcasing a track record of enhancing individual and team skills.Strong leadership presence with the ability to both strategically manage and implement tasks tactically in a fast-paced, high-mix production environment.Outstanding communication, organizational, and situational skills; excels navigating and working in ambiguity and driving clarity across global teams.Strong proficiency in ERP systems (preferably SAP / APO / S4 HANA) with deep understanding of MRP, inventory management, and capacity/factory scheduling concepts.Track record of owning responsibility for process improvement and inspiring changes across functions to achieve results.Ways to stand out from the crowd:Direct experience managing CM operations for complex, system-level manufacturing (e.g., data center, networking, server, or other complex builds).APICS / CPIM certification and application of supply chain planning frameworks in real-world execution.Demonstrated success implementing digital planning tools, analytics dashboards, or automation initiatives.Strong ability to adjust and a proactive approach to tackling intricate planning responsibilities when required.Passion for people development, building strong teams, and encouraging collaboration across diverse time zones and cultures.With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. This role presents an opportunity to have a wide impact at NVIDIA by improving the factory planning function. Are you creative, hard-working, dedicated, and determined? Do you love a challenge? If so, we want to hear from you!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 144,000 USD - 230,000 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until October 16, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

🏢 Summary: The role involves leading performance engineering efforts to enhance ML workloads, software stack, and hardware, collaborating with various teams to co-design future hardware roadmaps. The position requires managing project priorities, deadlines, and deliverables, and developing custom software tools for benchmarking and analysis. The role offers opportunities to work on complex technologies at a global scale, contributing to Google's AI and infrastructure advancements. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 8 years of experience in software development, 5 years of experience testing and launching software products, 3 years of experience with software design and architecture, 5 years of experience with ML design and ML infrastructure, Experience with Speech/audio, reinforcement learning, or another ML field 📃 Skills: software development, testing, software design, architecture, ML design, ML infrastructure, Speech/audio, reinforcement learning, ML Accelerators, data structures, algorithms 🏢 Description: Minimum qualifications: Bachelor’s degree or equivalent practical experience.8 years of experience in software development.5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), or specialization in another ML field.5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field.8 years of experience with data structures/algorithms.3 years of experience in a technical leadership role leading project teams and setting technical direction.Experience with ML Accelerators (e.g. having worked for another company who built ML chips).About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. As the Performance Engineering Lead you will improve overall performance across key ML workloads (JAX/LLMs), software stack (accelerator software/compiler), and hardware (GPU, TPU, other). We interact with product groups and ML practitioners, software teams, hardware/architecture teams. We develop custom software tools for benchmarking, profiling, analysis, and reporting. The AI and Infrastructure team works on the world’s toughest problems, redefining what’s possible and the possible easy. We empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Googler Cloud customers, and billions of Google users worldwide. We’re at the center of amazing work at Google by being the “flywheel” that enables our advanced AI models, delivers computing power across global services, and offers platforms that developers use to build services. In AI and Infrastructure, we shape the future of hyperscale computing by inventing and creating world-leading future technology, and drive global impact by contributing to Google infrastructure, from software to hardware (including building Vertex AI for Google Cloud). We work on complex technologies at a global scale with key players in the AI and systems space. Join a team of talented individuals who not only work together to keep data centers operating efficiently but also create a legacy of driving innovation by building some of the most complex systems technologies. The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google. Responsibilities Work as a lead within the performance team and related teams of computer architects, hardware designers ML Model owners and software systems.Collaborate with product areas to understand future/emerging workload requirements.Collaborate with hardware and systems teams to co-design future hardware roadmap (TPUs and other swim lanes).Propose new directions for investments.Drive, and evaluate decisions on Google hardware roadmap.

🏢 Summary: Join NVIDIA as a Senior Manufacturing Development Engineer to drive innovation in manufacturing processes, working closely with hardware teams and suppliers. You'll lead integration, champion new fabrication techniques, and ensure product excellence in a creative and problem-solving environment. This role involves providing end-to-end manufacturing solutions, risk mitigation, and continuous efficiency improvements. 🗂️ Requirements: 8+ years of related experience, Bachelor's degree in mechanical or manufacturing engineering or related field, Validated mechanical/thermal architecture mentality, Expertise in GD&T, tolerance analysis, and 2D drawing, Understanding of commonly used equipment in manufacturing, Familiarity with electrical or electro-mechanical components, In-depth mechanical/thermal background, Effective problem-solving skills, Proficiency in SPC, 6 sigma, quality control, CpK, and PPAP, Knowledge in DFM, DFA, DFx, Proficiency in CAD software, Creo preferred, Excellent written and verbal skills, Proficiency in English, Flexibility to travel 📃 Skills: GD&T, Tolerance analysis, 2D drawing, SPC, 6 sigma, Quality control, CpK, PPAP, DFM, DFA, DFx, CAD, Creo 🏢 Description: NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.Step into the future of manufacturing at NVIDIA! As a Senior Manufacturing Development Engineer, you’ll help turn daring ideas into real-world innovation, working closely with top hardware teams and suppliers. In this role, you’ll drive detailed integration, champion new fabrication techniques, and ensure our products set the example for excellence. Make your mark in an environment that values creativity, curiosity, and problem-solving—where your impact will shape tomorrow.What you'll be doing:Provide end-to-end manufacturing assembly process solutions, including DFX (design for manufacturing, design for assembly, design for 6-sigma, design for testing, etc.).Identify, assess, and apply risk mitigation strategies, leading investigations of issues, identifying root causes of product failures, and driving corrective actions.Review contract manufacturer (CM) readiness, develop assembly fixtures and jigs, and establish clear assembly and manufacturing specifications through a step-by-step validation process.Gather feedback through DFx, yield issues, and repair center activities to improve workflow efficiency, analyze system assembly gaps, study cosmetic appearances, and identify improvement opportunities.Assess automation capabilities, propose waste reduction and cost optimization, recommend technological aids, product design changes, and workspace layout modifications to achieve optimum quality and efficiency.Coordinate the purchase of special equipment, materials, and other parts, ensuring they meet intended use, specifications, and quality standards.Guide suppliers in optimizing manufacturing process parameters like cycle time and yield.Evaluate CEM technology Capabilities, recommend optimal assembly strategies to support NVIDIA’s innovation needs, handle multiple projects, resolve risks timely, and lead continuous efficiency and performance improvements.What we need to see:8+ years of related experience.A bachelor's degree in mechanical or manufacturing engineering, or a related field (or equivalent experience). A master's degree is a plus.Validated mechanical/thermal architecture mentality, expertise in GD&T, tolerance analysis, and 2D drawing, with a critical focus on manufacturing risk.Good understanding of commonly used equipment in manufacturing, familiar with electrical or electro-mechanical components, and PCBA-related manufacturing processes.In-depth mechanical/thermal background, with a consistent track record in engineering design, manufacturing, or product quality engineering in consumer electronics, GPU, automotive, or server products.Effective problem-solving skills, technical and quality critical, with the ability to collect, analyze, and interpret data proficiently in SPC, 6 sigma, quality control, CpK, and PPAP.Knowledgeable in DFM, DFA, DFx, manufacturing cost breakdown, and accurately predicting production performance.Proficiency in CAD software, with Creo preferred, excellent written and verbal soft skills, and proficiency in English, with flexibility to travel.Ways to stand out from the crowd:Balanced design and manufacturing experience with quality delivery and a background in consumer data center mechanics.Thrive in a sophisticated environment, with a willingness to roll-up your sleeves and get hands-on. We seek a self-starter and leader with a deep sense of dedication.NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and creative people in the world working here! If you are driven by impact, passionate about enterprise AI, and inspired to shape the agentic AI at scale for NVIDIA’s Supply Chain Operations, we want to hear from you. Apply today!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 247,250 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until October 16, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

🏢 Summary: The job offer is for a software engineer position at Google Cloud, focusing on developing next-generation technologies for billions of users. The role involves working on critical projects, collaborating with service teams, and contributing to the digital transformation of businesses using Google Cloud's enterprise-grade solutions. The position offers a competitive salary range, bonus, equity, and benefits. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 2 years of experience with software development in Go programming language 📃 Skills: Go, data structures, algorithms, code health, system diagnosis, software test engineering, Google Cloud Platform, cloud environments, SaaS, cluster management systems 🏢 Description: Minimum qualifications: Bachelor’s degree or equivalent practical experience.2 years of experience with software development in Go programming language. Preferred qualifications: 2 years of experience with data structures or algorithms in either an academic or industry setting.Experience in code and system health, diagnosis and resolution, and software test engineering.Experience with Google Cloud Platform or other cloud environments.Experience in developing and operating Software as a Service (SaaS) products.Familiarity with large-scale cluster management systems, such as Borg.About the job Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. This team has an impact and influence across Google Cloud Platform (GCP). Our products are already used by 70+ teams across GCP. We're expanding our focus and creating new offerings to support the changing needs of the GCP business. You will partner with service teams from different organizations and make them successful. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google.Responsibilities Write product or system development code.Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

🏢 Summary: The Service Engineer II role involves leading foundational services such as VM and patch management, hardware deployment, and Apple macOS system support to ensure reliability, security, and operational efficiency for thousands of systems. The position requires collaboration with partner teams to deliver top-tier customer service, identify opportunities for improvement, and implement automation and AI-driven solutions to streamline workflows. The role is primarily remote with occasional on-prem lab visits and participation in an on-call rotation. 🗂️ Requirements: Bachelor's Degree in relevant field or equivalent experience, 2+ years technical experience in relevant engineering fields, 3+ months experience with AI/ML techniques, Experience with macOS environments and enterprise deployment tools, Ability to pass Microsoft Cloud background check 📃 Skills: VM Management, Patch Management, Hardware Deployment, Inventory Management, Server Administration, macOS Support, Security Operations, AI Automation, Monitoring, Insights 🏢 Description: OverviewAs a Service Engineer II on the DevDiv Fundamental Services (DDFUN) team, you will join a deeply technical, high-impact group that owns and operates both cloud and on-prem services supporting engineering systems across the division. Our team blends Site Reliability Engineering (SRE), Software Engineering (SWE), and Service Engineering (SE) expertise, and is known for its strong culture, low attrition, and commitment to excellence.  Our vision and mission are to empower developers to be more productive and secure by providing reliable, automated, and secured platforms using modern fundamental practices and solutions. DDFUN is a daily role model for best practices that provides fundamental solutions to our customers leveraging on-prem infrastructure, cloud services, and third-party solutions.  We are lookign for a Service EngineerII, who will be the lead engineer for foundational services such as VM and patch management, hardware deployment, inventory lifecycle, and Apple macOS system support—ensuring reliability, security, and operational efficiency for thousands of systems. You’ll collaborate with partner teams to deliver top-tier customer service, identify opportunities for improvement, and implement automation and AI-driven solutions to streamline workflows and reduce manual effort.  We value curiosity, a growth mindset, and a passion for learning on the job. Our engineers are empowered to explore new technologies, improve processes, and contribute to a culture of continuous improvement. While the role is primarily remote, occasional visits to on-prem labs are required for hardware-related tasks. Participation in an on-call rotation, which may include occasional weekend availability, is also expected.  Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive. In alignment with these values, we are committed to cultivating an inclusive work environment that positively impacts our culture every day. QualificationsBasic Qualifications Bachelor's Degree in Computer Science, Information Technology, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Data Science, Cybersecurity, or related field AND 2+ years technical experience in software engineering, network engineering, service engineering, systems engineering, or industrial controlsOR equivalent experience.3+ months experience applying AI/ML techniques to infrastructure or service engineering scenarios (e.g., anomaly detection, predictive maintenance, intelligent alerting). Experience with macOS environments and enterprise deployment tools.  Other Requirements:Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications Master's Degree in Computer Science, Information Technology, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Data Science, Cybersecurity, or related field AND 3+ years technical experience in software engineering, network engineering, service engineering, systems engineering, or industrial controlsOR Bachelor's Degree in Computer Science, Information Technology, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Data Science, Cybersecurity, or related field AND 5+ years technical experience in software engineering, network engineering, service engineering, systems engineering, or industrial controlsOR equivalent experience.1+ year experience applying AI/ML techniques to infrastructure or service engineering scenarios (e.g., anomaly detection, predictive maintenance, intelligent alerting), AI platform frameworks such as Azure Machine Learning, Copilot Studio on Azure or GitHub Copilot Experience in managing asset lifecycle data, building Power BI reports for operational insights, supporting lab environments and coordinating with facilities teams. Knowledge of Executive Order (EO) compliance and secure network designs. Ability to manage vendor relationships and lead cross-team initiatives.  Service Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay Microsoft posts positions for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled  #DevDiv  #DDJL ResponsibilitiesVM Management Provision, migrate, and decommission Hyper-V virtual machines. Ensure agent version compliance, resolve Virtual Machine Manager (VMM) issues, and maintain secure, reliable virtualization environments. Patch Management Manage monthly patching for 7,000+ lab machines with a 95% compliance target. Oversee vendor coordination, reporting, tooling, and support for Windows and macOS systems in alignment with Data Security and Risk (DSR) and Secure Foundation Initiative (SFI) standards. Hardware Deployment Lead deployments in Managed Lab Services labs (MLS) and across new platforms (e.g., ARM64, next-generation Microsoft hardware). Define standards, validate specifications, and coordinate with vendors and lab teams. Inventory & End-of-Life (EOL) Management Maintain accurate asset data in OneAsset. Track OS versions, conduct audits, manage decommissioning, and support lifecycle transitions in compliance with Executive Order (EO) requirements. Break/Fix & Server Administration Support ~7,000 systems. Handle OS upgrades, troubleshoot hardware, firmware, and networking issues, and resolve ~1,000 customer tickets annually. Coordinate outages and downtime with Managed Lab Services labs (MLS) and Real Estate & Facilities (RE&F). Apple macOS Hardware and Software Support Support ~1,500 macOS devices. Manage imaging workflows, OS and Xcode updates, network troubleshooting, and ensure compliance with Executive Order (EO) and security standards. Security & Compliance Operations Implement and maintain patching and security baselines for on-prem systems. Align with DSR, Secure Foundation Initiative (SFI), and Executive Order (EO) requirements. Support physical security measures and contribute to centralized compliance automation. AI-Driven Automation Design and implement AI-assisted workflows to optimize patching, inventory management, and incident response. Collaborate with customers and the team to integrate telemetry and predictive analytics into service operations. Intelligent Monitoring & Insights Utilize AI/ML tools to detect anomalies, forecast capacity needs, and proactively mitigate risks across on-prem and hybrid environments.  DATE POSTED: Oct 13, 2025

🏢 Summary: NVIDIA is seeking a Senior Buyer of Operations to join their team, focusing on generating forecasts, creating purchase orders, and supporting financial and legal aspects of operations. The role involves collaboration with various internal organizations and requires a strong background in operations and semiconductor supply chain. The position offers a competitive salary, equity, and benefits, with applications accepted until October 16, 2025. 🗂️ Requirements: Bachelor's degree in business, finance, supply chain management, or related field or equivalent experience, At least 8+ years of relevant experience, Familiarity with semiconductor Wafer Fab/Assembly/Test supply chain, Comprehensive understanding of Offshore semiconductor Manufacturing, Finance, and Operations, Strong statistical analysis skills, Excellent written and verbal communication skills, Proven negotiation skills 📃 Skills: Excel, Excel Pivot Tables, SAP, B2B, PowerPoint, Office Suite, VBA, COUPA 🏢 Description: NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. We're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent.NVIDIA Operations team is turbocharging our continuous product volume and revenue growth through speed of light execution and creative supply chain/technology solutions. NVIDIA’s Operations team is looking for a Senior Buyer of Operations. We need someone who has a solid Operations background, and a collaborative team spirit as well as an excellent reputation with our manufacturing partners. You will be a part of a team that collaborate with many internal organizations (Purchasing, Finance, Operations, Legal, and Engineering) supporting NVIDIA Operations. You will be reporting to Director of IC Supply Chain and ManufacturingWhat you'll be doing:Generating forecasts for each of our OSAT partnersCreate purchase orders for all hardware for NVIDIA devices for Offshore Testing (Including ATE testers, probe cards, sort ATC’s, Burn In, Handlers, and Change Kits, Load Boards, Sockets and spare parts.)Service Repair, Maintenance Capacity PO’s for OSAT, Substrates & Tools. Support Operations CLM & NVIDIA legal to ensure proper NDA & Contract MaintenanceGenerate NPI/Production BPO for OSAT, Engineering, DOE and non-production Tooling, Contract Manufacturing Services, Subcon Production Services, Rework Chip-Ops ELP and and non-production Subcon Production Services, Rework Chip-Ops ELPGenerates PO for Boards Eng, and non-production DOE and Buyer for Memory Planning for ChipOps Components & HardwareSolves & support financial related issues that pertain to Operations BPOs and COUPA POs when issues ariseDrive asset or equipment sales to 3rd parties. Work with legal, traffic, tax, finance to ensure smooth salesSupport Financial Health Report Tool, NVIDIA CapEx Asset Risk Management and business continuity model for OperationsWhat we need to see:Bachelor's degree in business, finance, supply chain management, or a related field is desirable or equivalent experienceAt least 8+ years of relevant experienceFamiliarity with semiconductor Wafer Fab/Assembly/Test supply chain is highly desirableComprehensive understanding of Offshore semiconductor Manufacturing, Finance, and OperationsStrong statistical analysis skills – proven ability to convert data into information that drives decision makingExcellent written and verbal communication skillsProven negotiation skillsSkilled in Excel, Excel Pivot Tables, SAP, B2B, PowerPoint software and Office Suite; familiarity with VBA, COUPA and SAP is desirableNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and creative people in the world working here! If you are driven by impact, passionate about enterprise AI, and inspired to shape the agentic AI at scale for NVIDIA’s Supply Chain Operations, we want to hear from you. Apply today!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until October 16, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

🏢 Summary: NVIDIA is seeking a motivated SRE Engineer to join the NVIDIA AIR team, focusing on designing, deploying, and managing IaaS platforms for high availability and performance. The role involves automating infrastructure operations, developing monitoring tools, and managing Kubernetes clusters and CI/CD tools. Candidates will support secure production infrastructure and enforce best practices around infrastructure security and operational efficiency. 🗂️ Requirements: BS degree in Computer Science, Software Engineering, or related field (or equivalent experience), 5+ years of experience in Site Reliability, DevOps, or Systems Engineering, Strong automation and scripting skills in Ansible, Python, and Shell Scripting, Experience in IaaS environments with Linux-based servers, Deep experience in infrastructure engineering for highly available production infrastructure, Skilled in observability practices with Prometheus, Grafana, ELK/EFK, Solid grasp of Linux internals and core networking concepts, Experience with modern deployment architecture for cloud operations, Proficiency in Kubernetes, Docker, QEMU, and Libvirt 📃 Skills: Terraform, Ansible, Python, Prometheus, Grafana, ELK, Linux, Kubernetes, Docker, QEMU, Libvirt, Git, Jenkins, NAT, DNS, DHCP, iptables, nftables 🏢 Description: NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation driven by extraordinary technology and amazing people. NVIDIA is looking for a highly motivated SRE Engineer to join the NVIDIA AIR team – the Digital Twin for Data Center Simulation web application. NVIDIA AIR enables cloud-scale efficiency by creating identical replicas of real-world data center infrastructure deployments. To learn more, visit NVIDIA AIR.What you'll be doing:Design, deploy, and manage IaaS platforms with a focus on high availability and performance.Automate infrastructure operations using tools like Terraform, Ansible, and Python.Focus on efficiency by automating repetitive workflows.Develop monitoring and observability tooling to detect and prevent outages using Prometheus, Grafana, ELK, etc.Deploy and troubleshoot non-disruptive cloud operations with an emphasis on secure production infrastructure.Manage deployment/upgrades for Operating Systems, Kubernetes (k8s) clusters, and other orchestration tools.Provide day-to-day support for engineering activities with CI/CD tools like Git and Jenkins.Implement and enforce best practices around infrastructure security, access control, and operational efficiency.What we need to see:BS degree in Computer Science, Software Engineering, or a related field (or equivalent experience).5+ years of experience in a Site Reliability, DevOps, or Systems Engineering role.Strong automation and scripting skills in Ansible, Python, and Shell Scripting.Experience in IaaS environments, including deploying, configuring, and administering Linux-based bare metal servers.Deep experience in infrastructure engineering, focused on managing and monitoring a highly available production infrastructure.Skilled in observability practices, using Prometheus, Grafana, ELK/EFK, and integrated alerting systems.Solid grasp of Linux internals and core networking concepts including NAT, DNS, DHCP, routing, and firewall configuration with iptables or nftables.Experience with modern deployment architecture for non-disruptive cloud operations, including blue-green and canary rollouts.Proficiency in Kubernetes, Docker, QEMU, and Libvirt.Ways to stand out from the crowd:Hands-on expertise with AWS, including deploying complex, load-balanced, and highly available workloads.Proficiency in debugging network issues in both infrastructure and SDN.Experience with performance tuning and benchmarking across storage, compute, or networking.Implemented robust metrics collection and alerting infrastructure.Familiar with compliance standards such as FedRAMP, HIPAA, and SOC 2.With competitive salaries and a generous benefits package (www.nvidiabenefits.com ), we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until October 16, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

🏢 Summary: NVIDIA is seeking a Senior Partner Marketing Manager to lead marketing engagement with its Data and Storage partner ecosystem, focusing on global partner marketing strategies and execution of activities like events and digital marketing. The role involves developing co-marketing plans to launch new offerings and amplify partner solutions using NVIDIA technology. Ideal candidates should have a proven marketing background supporting data, generative AI, and agentic AI initiatives. 🗂️ Requirements: 10+ years of experience in high-tech marketing, product marketing, channel marketing, or partner marketing, Strong marketing proficiency in strategy, demand generation, partner management, and communications, Strong written and oral communication skills, BS/BA in Business or Marketing or equivalent experience, Experience in driving projects across cross-functional teams, Ability to lead and balance multiple projects in a dynamic environment, Knowledge of enterprise products (GPUs, Networking, AI Software) and Storage ecosystem preferred, Understanding of high-performance computing, server platforms, AI Software, and storage market trends preferred 📃 Skills: marketing, strategy, demand generation, partner management, communications, project management, enterprise products, GPUs, networking, AI software, storage ecosystem, high-performance computing, server platforms 🏢 Description: Are you a person who loves to work in a multifaceted organization? NVIDIA is looking for a Senior Partner Marketing Manager on the NVIDIA Enterprise Global Partner Marketing team!In this important role you will be leading the marketing engagement with NVIDIA's Data and Storage partner ecosystem. We are looking for a self-starter that can drive global partner marketing strategies and execute on activities such as events, content, digital marketing, keynotes, and more. This person will also develop and implement co-marketing plans and campaigns to successfully launch new offerings, generate demand, and amplify our partner's solutions built on NVIDIA technology. An ideal candidate has a proven marketing background supporting data, generative AI, and agentic AI initiatives with partners.What you will be doing:Developing co-marketing plans with our Data and Storage Partners that generate awareness, thought leadership, and demand for our Enterprise platforms.Enabling and supporting the execution of such marketing plans with partners.Working closely with partners to identify accelerated computing and AI marketing collaboration opportunities.Supervising marketing execution by implementing accountability and responsiveness to improve return on investment.Collaborate with Product, Sales, and Business Development teams to build increasingly effective campaigns that support the NVIDIA product roadmap.Building a trusted and valued relationship with your partner contacts.What we need to see:10+ years of work-related experience in high-tech marketing, product marketing, or channel marketing or partner marketing with history of success.Strong marketing proficiency and validated experience in marketing strategy, demand generation, partner management, and marketing communications.Strong written and oral communication skills with the ability to effectively collaborate with all levels of management within NVIDIA and partner organizations.BS/BA in Business or Marketing or equivalent experience.Experience in driving projects across cross functional teams within an organizationAbility to lead and balance multiple projects at a time in a dynamic environment.Knowledge of enterprise product (GPUs, Networking, AI Software) and Storage ecosystem preferred.Understanding of high-performance computing, server platforms, AI Software, and storage market trends preferred.The NVIDIA Enterprise Partner Marketing team is an especially strong team looking for another A player. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you thrive in a fast-paced environment with a passion for marketing technology, we want to hear from you!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 224,250 USD for Level 4, and 176,000 USD - 276,000 USD for Level 5.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until October 16, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

🏢 Summary: The job involves leading all aspects of web development, including requirements gathering, software development, testing, documentation, training, implementation, and ongoing support for web applications. The role requires collaboration with cross-functional teams to innovate and meet user and customer needs, with a focus on developing internal solutions and ensuring compliance. Compensation includes a base salary, bonus, equity, and benefits, with pay determined by location and experience. 🗂️ Requirements: Bachelor's degree in Computer Science, MIS, or related technical field, Experience working with Java, Experience implementing, customizing, or integrating third-party applications, Knowledge of software implementation life-cycle, Excellent communication and problem-solving skills 📃 Skills: Java, Software Development, Web Development, Testing, Documentation, UI Design, Cross-functional Collaboration, Problem-solving 🏢 Description: Minimum qualifications: Bachelor's degree in Computer Science, Management Information Systems, or other technical field, or equivalent practical experience.Experience working with Java. Preferred qualifications: Master's degree in Computer Science, MIS or related technical field or equivalent practical experience.Experience implementing, customizing or integrating third-party applications within business enterprise software.Knowledge of software implementation life-cycle (e.g., analyze, design, build, test, implement, support).Excellent communication and problem-solving skills.About the job You lead all aspects of web development, requirements gathering, software development, testing, documentation, training, implementation, ongoing support, and maintenance for both in-house and customer-facing web applications. You will work closely with a cross-functional team of Googlers using UI and functional specs/prototypes as input. You are empowered to act like an owner, take action and innovate to meet user and customer needs. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. The US base salary range for this full-time position is $113,000-$161,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google.Responsibilities Write clear, modular, well-structured, and self-sustaining codes, and develop overall systems design, research, and evaluate vendor supplied applications, and develop recommendations on those applications.Build internal solutions, with custom front-end and back-end services with minimal assistance, and identify processes and solutions to ensure controls compliance can be enforced and monitored.Help design, build, and deploy internal business applications to support Google’s technology life-cycle, collaboration and spaces, service delivery management, and data and business intelligence.Conduct and oversee testing of application modules to ensure application meets specifications and collaborate with analysts and business process owners within one or more teams to help translate business requirements into technical solutions.

🏢 Summary: Join the Waze Mobile Technologies team as a software engineer to design and implement new features for the Waze app, collaborating with mobile engineers, back-end engineers, UX, and program managers. You will play a key role in establishing a new mobile development team in Waze New York, focusing on enhancing user experience and accelerating product development. The position offers a competitive salary range with bonus, equity, and benefits. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 5 years of experience programming in Objective-C or Swift, 3 years of experience testing, maintaining, or launching software products, 1 year of experience with software design and architecture, 3 years of experience with iOS application development 📃 Skills: Objective-C, Swift, iOS, Software Design, Architecture, Testing, Maintenance, Launching, Mobile Development 🏢 Description: Minimum qualifications: Bachelor’s degree or equivalent practical experience.5 years of experience programming in Objective-C or Swift.3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.3 years of experience with iOS application development. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field.5 years of experience with data structures or algorithms.3 years of experience with performance, large scale systems data analysis, visualization tools or debugging.About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. You will join the Waze Mobile Technologies team designing and implementing new features on the Waze app that millions of users depend on each day with their drives. You will collaborate with other mobile Engineers, back-end Engineers, UX, Program managers.In addition, you will play a key role in establishing the new and growing mobile development team in Waze New York to accelerate product development at the site. The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives. The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world. The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google.Responsibilities Design and implement high impact features for Waze App.Experiment with innovative technologies for mobile.Help improve user experience for Waze on iOS.Collaborate with visual designers, prototypers and product managers.Participate in regular design reviews.

🏢 Summary: The Security Consultant role involves providing technical guidance to customers adopting Google Cloud Platform services, focusing on secure cloud implementations and application architectures. The position requires deep technical security experience and interaction with executive levels of customer organizations. Responsibilities include managing cloud security architectures, serving as a subject matter expert, and traveling for client engagements. 🗂️ Requirements: Bachelor's degree in Computer Science or equivalent practical experience, 3 years of experience in architecting, developing, or maintaining secure cloud solutions, Experience with network security, data security and regulatory compliance frameworks, Experience managing internal or external customer-facing projects to completion, Experience in cloud security within a customer-facing role, Experience with cloud environments, Experience in security architecture or security engineering, Experience with implementing FedRAMP, PCI or HIPAA security requirements in a cloud environment, Experience in attacks and mitigation methods, Excellent communication, written, presentation and problem-solving skills 📃 Skills: Cloud, Security, Architecture, Engineering, FedRAMP, PCI, HIPAA, Network, Data, Compliance, Protocols, Web, Application, Authentication, Access, Cryptography, Monitoring, Intrusion, Response, Forensics, Tools, Automation 🏢 Description: Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience.3 years of experience in architecting, developing, or maintaining secure cloud solutions.Experience with network security, data security and regulatory compliance frameworks.Experience managing internal or external customer-facing projects to completion while working with cross-functional teams. Preferred qualifications: Experience in cloud security, within a customer-facing role.Experience with cloud environments.Experience in security architecture or security engineering.Experience with implementing FedRAMP, PCI or HIPAA security requirements in a cloud environment.Experience in attacks and mitigation methods, in two or more of the following: network protocols and secure network design; web application security, security assessments and penetration testing, authentication and access control, applied cryptography and security protocols, security monitoring and intrusion detection, Incident response and forensics, development of security tools, automation or frameworks.Excellent communication, written, presentation and problem-solving skills.About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. As a Security Consultant, you will provide excellent technical guidance to customers adopting Google Cloud Platform (GCP) services. You will provide best practices on secure foundational cloud implementations, automated provisioning of infrastructure and applications, cloud-ready application architectures, and more. You will provide prescriptive guidance in ensuring customers receive the best of what GCP can offer and you will ensure that customers have the best experience in migrating, building, modernizing, and maintaining applications on GCP. Additionally, you will work with Product Management and Product Engineering to drive excellence in Google Cloud products and features. This position requires deep technical security experience, industry experience and will have high visibility at the most executive levels of customer organizations, including frequent interaction with CIOs, CISOs, CTOs, their staff, and GCP executive leadership. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $123,000-$176,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google.Responsibilities Work with customer development leads, client executives, and partners to manage and deliver successful cloud security architectures, serve as a cloud security and compliance subject matter expert and as a trusted advisor to decision makers throughout the engagement.Work with internal specialists, product, and engineering teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets.Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes.Travel approximately 30% of the time for client engagements.