🏢 Summary: Join NVIDIA as a Senior System Verification Engineer in the Emulation division, working onsite in Santa Clara, CA. You will support multiple emulation environments, bring up GPUs, SOCs, and verify high-speed protocols, collaborating with various teams. The role requires proficiency in Verilog, C/C++, SystemVerilog, and experience with UVM verification environments. 🗂️ Requirements: M.S or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering or related field, 8+ years of proven experience, Proficiency in Verilog and/or VHDL, C/C++ and SystemVerilog, Protocol knowledge of at least one high-speed interface, Experience with UVM verification environments, Scripting with Perl, Python and C/C++, Familiarity with hierarchical design approach, top-down design, SoC and system level verification, Zebu emulation experience with SOC/CPU 📃 Skills: Verilog, VHDL, C/C++, SystemVerilog, PCIe, CXL, NVLINK, IB, Ethernet, I2C, I3C, SPI, UART, UVM, Perl, Python, Zebu 🏢 Description: We are a worldwide recognized division noted for groundbreaking technology. We are work-flex, family and diverse team! NVIDIA invention of the GPU in 1999 accelerated the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new adventurous opportunities, that only we can seek, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Join us today!We are now looking for a Senior System Verification Engineer to join our Emulation division and will be working onsite from our Santa Clara, CA headquarters.What you will be doing:We support multiple emulation environments using the latest emulation techniques (C/C++ DPI Transactors, SV assertions, Coverage, Power Estimation, SpeedBridges, Accelerated UVM Testbenches).Bring up GPUs, SOCs, Switch, NIC on emulation, root causing system level test fails and emulator environment issues.Bring-up and verify High Speed protocols like PCIe/CXL/NVLINK/IB/Ethernet etc …. Low speed protocols like I2C/I3C/SPI/UARTBring-up/debug issues related to CPU and GPU CoherencyWe have continual collaboration with Design, DV, Power, Silicon Validation, Performance, and Software teams.Work constructively leading emulation vendors to debug issues using various tools.Write monitors and checkers that aid debug in HW test issues and FW/SW bring-upWhat we need to see:M.S or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering or related field with 8+ years of proven experience.Individual should be proficient in Verilog and/or VHDL, C/C++ and SystemVerilog.Protocol knowledge of at least one of the High-speed interfaces: PCIe/CXL/NVLINK/IB/Ethernet etc ….Low-speed protocols like I2C/I3C/SPI/UART and BMC interaction in server platformsWorking Knowledge of CPU - GPU coherencyExperience with UVM verification environments and scripting with Perl, Python and C/C++ is essential.Be familiar with hierarchical design approach, top-down design, SoC and system level verification.Zebu emulation experience with SOC/CPUNVIDIA is on the move and our technology and vision position us as one of the world’s most desirable employers. We have some of the most forward-thinking and talented people on our journey. If you're inventive and autonomous, 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 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until November 8, 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 as a Senior Photonics CAD Engineer to develop and implement physical design and layout methodologies for integrated photonic devices, focusing on high-speed optical interconnect and sensing applications. Collaborate with cross-functional teams to optimize workflows and solve complex design problems using EDA tools like Cadence Virtuoso. Drive efficiency improvements in design verification and provide training and documentation for design teams. 🗂️ Requirements: MS in Electrical or Computer Engineering or equivalent experience, Minimum 5 years of experience in physical design engineering or photonic IC development, Proficiency in EDA tools like Cadence Virtuoso and Calibre, Experience in programming and scripting languages such as Python, Perl, and SKILL, Strong understanding of physical design aspects including floor planning, integration, and layout sign-off, Excellent communication skills for cross-functional collaboration 📃 Skills: Cadence, Virtuoso, Calibre, Python, Perl, SKILL, EDA, IC, Photonics, Design, Verification, Integration 🏢 Description: NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice and join us today!We are now looking for a Senior Photonics CAD Engineer. We are part of the global circuits team at NVIDIA that craft the state-of-the-art GPUs for all applications such as supercomputers, gaming consoles and self-driving cars. Come join us in our mission to Engineer the next generation of outstanding products. Teams are dedicated to the architecture and design of CMOS and Silicon-Photonics high-speed chip interfaces (NVLink, IEEE, PCIE, USB, OIF) and other sophisticated photonic functions. Strong hands-on lab experience with silicon evaluation, debugging, characterization, and bring up.What you will be doing:Develop and implement physical design and layout methodologies for integrated photonic devices focused on high-speed optical interconnect and sensing applications.Architect and advance design flows for photonic integrated circuits (PICs) layout, floor planning, waveguide routing, pCell creation, assembly, and backend verification using EDA tools like Cadence Virtuoso, supporting multiple concurrent projects from design through layout generation and sign-off.Collaborate closely with device design, layout, foundry technology, and packaging teams to optimize workflows, enhance cross-functional efficiency, and solve complex silicon photonics design problems across different technology nodes.Drive efficiency improvements in design verification, physical extraction, custom rule writing (DRC/LVS), and silicon validation for photonic and electronic ICs.Provide training and documentation for design teams, establish best practices for code release, and ensure robust version control and design collateral management.What we need to see:MS in Electrical or Computer Engineering (or equivalent experience)Minimum 5 years of experience in physical design engineering or photonic IC development, including hands-on EDA flow and tool development.Solid understanding of all aspects of physical design, including floor planning, integration, clock and power distribution, place-and-route, verification, and layout sign-off.In-depth expertise in Cadence Virtuoso, Calibre, and other industry-standard EDA tools for custom IC and photonics layout design.Demonstrated proficiency in programming and scripting languages such as Python, Perl, and SKILL for tool and flow automation.Strong background in hierarchical design methodologies, top-down integration approaches, and design-for-manufacturing concepts including DFM, yield enhancement, and process constraint checks.Excellent communicator with the ability to work cross-functionally and support large distributed design teams through flow training and tool support.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until November 8, 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 of Technical Program Manager at Google involves leading complex, multi-disciplinary projects in the development of next-generation Pixel and wearable technologies. The position requires collaboration with cross-functional teams to plan requirements, manage project schedules, and drive the development of new manufacturing processes and technologies. The role offers a competitive salary and benefits, focusing on creating transformative experiences in consumer electronics. 🗂️ Requirements: Bachelor's degree in a technical field or equivalent practical experience, 5 years of experience in program management, Experience with process engineering or product design, Experience in manufacturing consumer electronics 📃 Skills: program management, process engineering, product design, manufacturing, automation, PFMEA, Six Sigma, statistical methods, root cause analysis, design of experiments 🏢 Description: Minimum qualifications: Bachelor's degree in a technical field, or equivalent practical experience.5 years of experience in program management.Experience with process engineering or product design.Experience in manufacturing consumer electronics (e.g., phones, tablets, laptops, etc.). Preferred qualifications: 5 years of experience managing cross-functional or cross-team projects.Experience working with OEM partners in a high-volume manufacturing environment.Experience working with Product Design Engineers and Manufacturing Engineers.Experience implementing industrial automation such as conveyors, stages, pneumatics, metrology, machine vision cameras, or robotic assembly.Experience assessing manufacturing processes through the use of PFMEA, process monitors, capability analysis, root cause analysis, and design of experiments.About the job A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. Google engineers are developing the next-generation of Pixel and wearable technologies that will change how users connect, explore, and interact with information. In this role, you will develop new products and manage new problems as the team continues to push technology forward. You will be expected to execute within a collaborative environment that provides tools and resources you need to get things done. The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world. The US base salary range for this full-time position is $156,000-$229,000 + 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 Drive the development of new manufacturing processes and technologies, supporting early-stage product concepts and advanced architecture initiatives.Lead design for manufacturing (DFM) and process failure mode effective analysis (PFMEA) activities, collaborating with engineering to identify and mitigate potential product and process issues.Implement manufacturing through continuous improvement of assembly tooling, automated equipment, and contract manufacturing partners.Utilize statistical methods and Six Sigma techniques to identify root causes of yield loss and implement corrective actions to ensure product quality.Partner with Product Design, Quality, and Operations teams, as well as Contract Manufacturing, to ensure manufacturability and product development innovations.

🏢 Summary: Join Google's AI and Infrastructure team as a Software Engineer, where you'll work on critical projects, providing technical leadership and developing next-generation technologies that empower billions of users. You'll have the opportunity to influence and coach a distributed team, manage project priorities, and design, develop, and enhance software solutions. This role offers a competitive salary, bonus, equity, and benefits. 🗂️ Requirements: Bachelor's degree or equivalent practical experience, 8 years of experience in software development, 5 years of experience testing and launching software products, 5 years of experience building and developing infrastructure, distributed systems, or networks, 3 years of experience with software design and architecture, Experience in C++ and distributed computing 📃 Skills: C++, distributed computing, software development, infrastructure, networks, software design, architecture 🏢 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.5 years of experience building and developing infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.3 years of experience with software design and architecture.Experience in C++ and distributed computing. 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.3 years of experience working in an organization involving cross-functional or cross-business projects.Experience with embedded development.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. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. 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 Provide technical leadership on high-impact projects.Influence and coach a distributed team of engineers.Facilitate alignment and clarity across teams on goals, outcomes, and timelines.Manage project priorities, deadlines, and deliverables.Design, develop, test, deploy, maintain, and enhance software solutions.

🏢 Summary: Join Google's Motion Systems and Algorithms team to develop cutting-edge algorithms and machine learning models for Android location and motion technology, impacting over 3 billion users. Work on sensor fusion, state estimation, and embedded systems integration to enhance Android features and Google Pixel Watches. Collaborate on complex algorithmic designs and ML model pipelines, contributing to high-quality context and motion experiences. 🗂️ Requirements: Bachelor’s degree or equivalent experience in Computer Science, Robotics, Electrical Engineering, or related field, 5 years of software development experience in C++ or Java/Kotlin, 3 years of experience in testing, maintaining, or launching software products, 1 year of experience with software design and architecture in high-performance or embedded environment, 3 years of experience with sensor fusion, state estimation, signal processing, or related ML field, 3 years of experience with ML infrastructure or algorithmic validation pipelines 📃 Skills: C++, Java, Kotlin, sensor fusion, state estimation, signal processing, ML infrastructure, algorithmic validation 🏢 Description: Minimum qualifications: Bachelor’s degree or equivalent experience in Computer Science, Robotics, Electrical Engineering, a related technical field, or equivalent practical experience.5 years of software development experience in one or more programming languages, including C++ or Java/Kotlin.3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture in a high-performance or embedded environment.3 years of experience with: sensor fusion, state estimation, signal processing, or specialization in a related resource-constrained ML field.3 years of experience with ML infrastructure (e.g., model deployment, optimization, data processing) or algorithmic validation pipelines. Preferred qualifications: Master's degree or PhD in Computer Science, Robotics, or a related technical field.5 years of experience with data structures/algorithms, specifically involving spatial algorithms or complex data structures for location technology.1 year of experience in a technical leadership role, mentoring junior engineers or leading complex algorithmic design projects.Experience developing accessible technologies or developing systems that provide robust context awareness across user groups.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. The Motion Systems and Algorithms team is the engine for foundational location and motion technology across Android location, Platforms, and Devices, impacting over 3 billion users. Our mission is to deliver high-quality context and "magical" motion experiences. We work on some of the hardest problems in sensor fusion and state estimation, developing and productizing cutting-edge algorithms and Machine Learning (ML) models. Our work powers core Android features (like the Fused Location Provider, FLP) and enhances experiences on Google Pixel Watches with advanced motion algorithms (distance, pace, elevation, running dynamics). As part of this team, you'll bridge the gap between low-level embedded systems and large-scale Android services, shaping how devices understand and respond to the real world. Android is Google’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the 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 Write and test product or system development code for highly reliable, resource-constrained motion and location algorithms.Collaborate with peers and stakeholders through design and code reviews to ensure best practices, focusing on sensor fusion and embedded systems integration.Contribute to existing documentation and adapt content based on product updates, specifically for complex algorithmic designs and ML model pipelines.Triage product or system issues and debug/track/resolve problems related to sensor data quality, localization accuracy, or algorithm performance.Design and implement solutions in specialized ML areas, leveraging ML infrastructure.

🏢 Summary: The role of Technical Program Manager at Google involves leading complex, multi-disciplinary projects, collaborating with product and engineering teams to enhance AI/ML workload performance, and serving as the customer interface for new technology adoption. The position requires managing mission-critical projects, optimizing workloads for Cloud GPUs and TPUs, and developing infrastructure integration strategies. The salary range for this full-time position is $227,000-$320,000, plus bonus, equity, and benefits. 🗂️ Requirements: Bachelor's degree in a relevant field or equivalent practical experience, 10 years of experience in program management, Experience managing cross-functional or cross-team projects, Experience managing projects within software engineering teams or product management, Experience working with software and hardware teams in high performance compute or ML accelerators, Experience with ML techniques and frameworks 📃 Skills: program management, cross-functional management, software engineering, product management, ML techniques, ML frameworks, high performance computing, TPUs, GPUs 🏢 Description: Minimum qualifications: Bachelor's degree in a relevant field, or equivalent practical experience.10 years of experience in program management. Preferred qualifications: 10 years of experience managing cross-functional or cross-team projects.Experience managing projects within software engineering teams or product management, particularly innovative/novel engineering programs.Experience working with software and hardware teams in high performance compute or ML accelerators.Experience with ML techniques and frameworks.About the job A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full-time position is $227,000-$320,000 + 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 Lead innovation and execution of mission-critical projects by collaborating with product teams to understand customer requirements and relay the information to engineering teams for managing, designing, planning, developing and launching technical projects or programs.Collaborate with engineering teams to define, design and implement solutions that enhance Artificial Intelligence/Machine Learning (AI/ML) workload performance.Identify customer AI/ML workload performance needs and optimize their workloads for Cloud Graphics Processing Unit (GPUs) and Tensor Processing Unit (TPUs).Serve as the customer interface for the team by engaging with client teams, reviewing new product requirements and tracking features and dependencies to facilitate the adoption of new technologies and deployment systems.Develop infrastructure integration strategies and manage new client onboarding.

🏢 Summary: The role is for a Senior Staff Engineer to serve as the Technical Lead for Google's Ads Safety Classification organization, responsible for defining and driving technical goals across ML and non-ML infrastructure. The position involves leading the development of ad safety systems, integrating LLMs and Agents at scale, and managing project priorities, deadlines, and deliverables. The role requires versatility, leadership qualities, and enthusiasm to tackle new problems across the full-stack. 🗂️ Requirements: Bachelor's degree in Computer Science or related technical field, or equivalent practical experience, 8 years of experience in software development, 7 years of experience in building and developing large-scale infrastructure, distributed systems or networks, 5 years of experience with design and architecture and testing/launching software products 📃 Skills: software development, large-scale infrastructure, distributed systems, networks, compute technologies, storage, hardware architecture, design, architecture, testing, machine learning, model serving, data pipelines, internal tooling, human-in-the-loop workflows, platform initiatives, infrastructure initiatives 🏢 Description: Minimum qualifications: Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.8 years of experience in software development.7 years of experience building and developing large-scale infrastructure, distributed systems or networks; or experience with compute technologies, storage, or hardware architecture.5 years of experience with design and architecture and testing/launching software products. Preferred qualifications: Experience in machine learning infrastructure, model serving, and data pipelines at a massive scale.Experience in building and maintaining internal tooling that supports human-in-the-loop workflows.Understanding of the tests for protecting users online and a passion for the Ads Safety mission.Ability to track record of shipping major platform and infrastructure initiatives that have a significant and measurable impact on the business.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. We are seeking an exceptional Senior Staff Engineer to serve as the Technical Lead (TL) for our entire Ads Safety Classification organization. This is a role responsible for defining and driving the technical goal across our Machine Learning (ML) and non-ML infrastructure, classification platform, and analyst tools. You will lead the charge in building the next generation of our ad safety systems, including the foundational infrastructure for integrating LLMs and Agents at a massive scale. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. 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 Define and own the long-term technical strategy for the entire Ads Safety Classification organization. Be responsible for the health, scalability, and security of all systems from the platform to the analyst tools.Lead through influence by driving alignment and a unified technical roadmap across multiple engineering teams to solve the most ambiguous tests.Design and oversee the architecture of our large-scale classification systems, including ensuring a cohesive, goal for how Machine Learning (ML) models, non-ML classifiers, and human expertise interact within the platform.Act as an expert for critical technical issues, and be the go-to person for unblocking projects and ensuring architectural integrity.Mentor and grow the technical talent within the organization, including other executive engineers, and set goals for engineering excellence and foster a culture of technical.

🏢 Summary: NVIDIA is seeking a seasoned operations leader to drive U.S.-based manufacturing initiatives for AI systems, focusing on collaboration, predictable execution, and continuous improvement. This senior role requires aligning complex initiatives across supply chain, engineering, sourcing, and partner operations. The position offers competitive salaries, equity, and benefits, with a focus on fostering a diverse work environment. 🗂️ Requirements: 18+ years experience in manufacturing, supply chain, and operations leadership, Bachelor's degree or equivalent experience, Proven record of operational transformation, 10+ years in management, Experience in EMS, component, and system-level manufacturing, Expertise in operational economics and data-driven manufacturing systems, Executive level communication skills 📃 Skills: manufacturing, supply chain, operations, leadership, EMS, component, system-level, operational economics, data-driven, communication 🏢 Description: NVIDIA is expanding its advanced manufacturing footprint by working with strategic partners to advance U.S.-based production of accelerated computing systems. This initiative strengthens our supply chain resilience and positions us to meet the growing demand for AI infrastructure. We’re seeking a seasoned operations leader with the expertise, judgment, and cross-functional agility to align complex initiatives and deliver predictable, scalable results.This senior individual contributor role acts as a cross-functional connector, driving clarity, cadence, and closure across U.S. manufacturing programs that span supply chain, engineering, sourcing, and partner operations. The ideal candidate combines deep hands-on manufacturing experience with enterprise-level systems thinking. The focus is on collaboration, predictable execution, and continuous improvement across NVIDIA’s rapidly growing manufacturing ecosystem.What You’ll Be Doing:Partner across Operations, Engineering, Finance, and Ecosystem partners to enable and scale U.S. manufacturing for AI systems.Advance data-driven manufacturing methods (telemetry, predictive control, S&OE) to improve transparency, quality, and efficiency.Align cost and capacity planning with Finance, Sourcing and Factory Planning; support supplier readiness through milestone-based reviews.Provide operational inputs for internal communications on U.S. manufacturing progress, as needed.Advance U.S. capabilities by integrating forward (build) and reverse (repair) operations under one operating model.What We Need to See:Extensive experience (18+ years) spanning manufacturing, supply chain, and operations leadership at a global scale.Bachelors degree or equivalent experience.Proven record of operational transformation improving cost, quality, and delivery simultaneously.Proven influence leadership across matrixed teams and external partners and a minimum of 10 + years in management.Depth across EMS, component, and system-level manufacturing environments.Operational economics, supplier readiness, and data-driven manufacturing systems expertise, senior executive level communications.Executive presence, clarity in communication, and comfort operating at both strategy and execution levels.Ways to stand out from the crowd:Experience leading sophisticated, cross-functional initiatives that align multiple organizations to deliver coordinated operational results.Experience scaling manufacturing networks or managing large-site transformations.Proven collaboration across Finance, Sourcing, Legal, and other corporate functions to enable aligned execution.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 292,000 USD - 442,750 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until November 8, 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 as a Senior System Software Engineer to architect and develop advanced RTOS and hypervisor capabilities for autonomous vehicles, focusing on dynamic CPU and memory partitioning. Design scalable OS mechanisms and implement core virtualization features leveraging hardware-assisted virtualization on NVIDIA Tegra SoCs. Ensure system correctness and safety using formal methods for high-assurance systems. 🗂️ Requirements: BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related field, 8+ years in embedded software development, Experience in RTOS and hypervisor development, Proficiency in C and C++, Understanding of ARMv8 / ARM 64-bit architecture, Knowledge of operating system concepts 📃 Skills: RTOS, Hypervisor, C, C++, ARMv8, ARM 64-bit, Virtualization, Embedded software, Formal methods, TLA+, Scheduling, Memory management, Inter-partition communication 🏢 Description: NVIDIA is a leading artificial intelligence computing company, and we are paving the way with innovations in self-driving cars, machine learning, supercomputing, gaming, and visualization. We give automakers, tier-1 suppliers, automotive research institutions, and start-ups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for self-driving vehicles. Our unified computing architecture enables training deep neural networks in the data center, and then seamlessly runs them on NVIDIA DRIVE Platforms inside the vehicle. The Hypervisor and RTOS Team within NVIDIA DRIVE Software plays a critical role in NVIDIA's expansion into the world of artificial intelligence and autonomous vehicles. Our job is to facilitate the sharing and separation of system resources while achieving real-time, safety, and security requirements. We develop Hypervisor and RTOS with a strong focus on automotive quality, safety and security needed for the real-time, highly available system level components of world-class Autonomous Vehicles. We are hiring now for the position of Senior System Software Engineer for Hypervisor and RTOS What you’ll be doing:Architect and develop advanced RTOS and hypervisor capabilities to support next-generation use cases through dynamic CPU and memory partitioning.Design and implement scalable core OS mechanisms—including scheduling, memory management, and inter-partition communication—to enable flexible, high-performance system behavior.Apply formal methods (e.g., TLA+) to specify and verify dynamic aspects of the architecture, ensuring correctness, safety, and predictable behavior under reconfiguration.Design and implement core virtualization features that leverage hardware-assisted virtualization on NVIDIA Tegra SoCs based on ARM architecture, optimizing performance and efficiency. What we need to see:BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related engineering field, or equivalent experience.8+ years in embedded software development, with extensive experience in RTOS and hypervisor development for high-assurance systems.Proficiency in C and C++.Deep understanding of ARMv8 / ARM 64-bit architecture, including hypervisor extensions, weak memory model (DSB, DMB, ISB), and low-level system programming.Solid understanding of operating system concepts, including virtual memory, page tables, caches, and synchronization primitives.Strong skills in designing scalable, high-performance embedded software and developing core RTOS and virtualization features for mixed-criticality systems NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, 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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until November 8, 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 the Omniverse Customer Success team as a Customer Success Workflow Specialist, focusing on Isaac and Robotics trained in Digital Twins. You'll work on creating virtual training conditions for robots using the Omniverse platform and collaborate with partners to develop next-generation customer workflows. This role involves examining and enhancing industry workflows, providing feedback to engineering teams, and working with global customers. 🗂️ Requirements: B.S. degree or equivalent experience, 6+ years of experience in graphics, graphic applications, industry applications, and industry workflows, Expertise in 3D CAD Modelling applications or base coding (ROS2, Python +), Experience with simulation tools like Isaac Sim, Gazebo, Unreal, Unity, MuJoco, or Drake, Robotics applied experience in Manipulation Motion Planning, Navigation, etc., Background in hardware, software, or solutions development in Robotics, Ability to handle multiple projects and prioritize under tight deadlines, Excellent interpersonal skills 📃 Skills: Graphics, 3D CAD, ROS2, Python, Isaac Sim, Gazebo, Unreal, Unity, MuJoco, Drake, Robotics, Manipulation, Motion Planning, Navigation 🏢 Description: As a Customer Success Workflow Specialist with a focus on Isaac and Robotics trained in Digital Twins, you will join our Omniverse Customer Success team. You will work to help create the conditions for robots to be trained virtually in omniverse within Digital Twins so they can then be deployed to the real world. You’ll be examining all aspects of these workflows and processes, as well as how we can enhance and innovate them using the Omniverse platform. You will work with the latest hardware and software technologies to help NVIDIA develop the next generation of improved customer workflows alongside our partners.What you will be doing:Looking at various processes within the Robotics industry to see how our technology can help benefit the industry and our customersHow to enhance these existing industry workflows by integrating the Omniverse platformProvide feedback to engineering & product teamsWorking with various customers around the world who are developing on the Omniverse platformUnderstanding Customer workflows and communicating the product & engineering teams about themCreating videos to highlight & train on these workflowsWhat we need to see:B.S. degree (or equivalent experience) with 6+ years of experience along with expertise in graphics, graphic applications, industry applications, and industry workflows, 3D CAD Modelling applications, /or base coding (ROS2, Python +), all with an emphasis in RoboticsSimulation and experience with related tooling such as Isaac Sim, Gazebo, Unreal, Unity, MuJoco, or DrakeRobotics applied experience in Manipulation Motion Planning, Navigation, or similarRobotics applied experience (e.g Manipulation Motion Planning, Navigation, etc)Prior hardware, software, or solutions development background in RoboticsAbility to handle multiple projects and constituents, and can prioritize under tight deadlinesExcellent interpersonal skills - written, spoken, and visual. High-pressure executive presentation skills a plusAbility to work multi-functionally across all groups at NVIDIA and directly with customers and partners to achieve stated goals and objectivesWays to stand out from the crowd: Have high energy and a positive attitude and self-starterFluently speaks MandarinAn expert is OpenUSDFamiliar with Isaac Lab, and with BlenderApplied AI experience in Robotics (Perception AI, VLA, VLM, SDG)NVIDIA is considered 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 are creative and autonomous, we would like 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 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until November 8, 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: As a Scaled Abuse Analyst, you will contribute to YouTube's strategy for reducing network abuse, applying advanced statistical methods to data sets and developing new workflows against abuse vectors. The role involves managing technological solutions for quality assurance, performing fraud investigations, and collaborating with engineers to improve processes. This position may require on-call work on weekends and exposure to graphic content. 🗂️ Requirements: Bachelor's degree or equivalent practical experience, 2 years of experience in data analysis, 2 years of experience managing projects, Experience in identifying trends and generating insights from data 📃 Skills: DataAnalysis, ProjectManagement, StatisticalModeling, DataMining, MachineLearning 🏢 Description: Minimum qualifications: Bachelor's degree or equivalent practical experience.2 years of experience in data analysis, including identifying trends, generating summary statistics and drawing insights from quantitative and qualitative data.2 years of experience managing projects and defining project scope, goals and deliverables. Preferred qualifications: Master's degree in a quantitative discipline.5 years of experience in collecting, managing and synthesizing data sets and information, statistical modeling, data mining and data analysis.5 years of experience in managing projects and defining project scope, goals and deliverables.2 years of experience with applied Machine Learning.Excellent written and verbal communication skills.About the job Fast-paced, dynamic, and proactive, YouTube’s Trust & Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create, and express themselves. Whether understanding and solving their online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust & Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever-evolving digital world. As a Scaled Abuse Analyst, you will be a key contributor to the strategy for reducing network badness on YouTube. You will balance the short-term requirements while demonstrating the ability to make quantitatively based long-term recommendations accordingly.This role may require on-call work on weekends on a rotational basis. This role may also be exposed to graphic, controversial and sometimes offensive video content during team escalations in line with YouTube’s Community Guidelines. At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together. The US base salary range for this full-time position is $126,000-$181,000 + 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 Apply advanced statistical methods to data sets to understand impact of abuse to the YouTube ecosystem. Contribute strategy and development of new workflows against additional known vectors of abuse.Translate qualitative abuse intelligence into technical artifacts, including structured data and machine-readable prompt sets for LLMs.Learn concepts and systems and deliver results using them. Communicate technical results and methods.Maintain, foster and promote quality by providing regular feedback metrics to the Global team. Manage technological solutions for streamlining quality assurance and produce scalable training solutions to emergent workflows.Perform fraud and spam investigations using various data sources, identify product vulnerabilities and drive anti-abuse experiments to prevent abuse. Work with engineers and interact cross-functionally with stakeholders to improve workflows via process improvements, automation and anti-abuse system creation.

🏢 Summary: The role involves designing and developing scalable Machine Learning infrastructure for manufacturing, maintaining and improving AI platforms, and developing back-end systems for online model serving and inference. The position requires collaboration in writing design documents and participating in design reviews to transform raw factory data into actionable insights. This full-time position offers a competitive salary range, bonus, equity, and benefits. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 2 years of experience in software development, 1 year of experience with ML infrastructure 📃 Skills: Java, Python, C++, JavaScript, ML infrastructure, model deployment, model evaluation, data processing, debugging 🏢 Description: Minimum qualifications: Bachelor’s degree or equivalent practical experience.2 years of experience with software development in one or more programming languages (e.g., Java, Python, C/C++, JavaScript).1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields.Experience with Machine Learning infrastructure (e.g., model deployment, model evaluation, model serving, data processing, debugging, and fine tuning.).Experience with Machine Learning, LLM, and GenAI technologies.Experience with manufacturing software development.Experience coding in C++, Java and Python.Strong collaboration skills.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. In this role, you will provide a comprehensive end-to-end platform that handles the complete data life cycle, from scalable data ingestion and processing to advanced model training and automated deployment. This integrated system is designed to seamlessly transform raw factory data into actionable Analytics Insights, empowering our partners to rapidly develop, deploy, and monitor robust AI-driven solutions. Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology. 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 Design and develop components of scalable Machine Learning infrastructure for Manufacturing.Maintain and improve existing AI platform for support of advanced Automatic Optical Inspection.Develop and operate scalable back-end for online Machine Learning model serving and online inference.Develop advanced data collection back end and analytical portal for advanced manufacturing insights.Write design documents and participate in design reviews.

🏢 Summary: The role involves managing a team of engineers to develop and implement AI-driven testing strategies for Android and Laptops/Tablets, ensuring high-quality product launches. The position requires technical leadership, collaboration with cross-functional teams, and the ability to translate organizational goals into automated quality strategies. The role also includes overseeing large-scale projects and fostering a culture of innovation and technical excellence. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 8 years of experience in software development, 5 years of experience in software engineering, 3 years of experience in a people management role, 3 years of experience with full stack development, Experience integrating AI/ML techniques into software testing, Experience with Android OS and quality assurance for consumer devices 📃 Skills: Java, Python, Golang, C++, JavaScript, TypeScript, HTML, CSS, AI, ML, NLP, Computer Vision, Android, CI/CD, Jenkins, GitLab 🏢 Description: Minimum qualifications: Bachelor’s degree, or equivalent practical experience.8 years of experience in software development.5 years of experience in software engineering, with 3 years of experience in a people management role leading technical teams.3 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end including JavaScript or TypeScript, HTML, CSS or equivalent.Experience integrating AI/ML techniques (e.g., Natural Language Processing, Computer Vision) into the software testing lifecycle.Experience with Android OS and the challenges in quality assurance for consumer devices (e.g., Laptops, Tablets, or Mobile). Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field.3 years of experience working in a cross-functional organization.Experience defining quality strategies for large-scale product launches.Experience in test automation frameworks and their integration with modern CI/CD pipelines (e.g., Jenkins, GitLab CI, or proprietary systems).Knowledge of both hardware-software integration and the Android application ecosystem, and understanding of testing methodologies (Agile, Shift-Left, and continuous testing).Ability to evaluate, select, and deploy AI-powered tools for tasks such as test case generation, predictive defect analysis, or automated failure classification.About the job Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. In this role, you will focus on ensuring authoring tests and solutions for Laptops and Tablets (L&T) and Android platform developers in order to launch products with high quality. You will define and implement a strategy to use Generative AI and Machine Learning (ML) for test creation, maintenance, and defect prediction. You need to grow an innovative, and technically excellent organization. You are a collaborative and communicative technical leader who can translate organizational goals into an automated quality strategy, directly impacting the success of a major product line. Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another. 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 Develop a long-term strategy for leveraging Artificial Intelligence (e.g., LLMs, Generative AI) to author, maintain, and prioritize a full suite of Unit, end-to-end (E2E) and system-level tests for Android and Laptops and Tablets.Recruit, mentor, and lead a team of Software Engineers, fostering a culture of innovation, accountability, and technical excellence.Collaborate closely with Product Management, Hardware Engineering, Software Development and partners to ensure testability is baked into the design process and to mitigate cross-functional and vendor dependencies.Design, implement, and maintain scalable and resilient test automation frameworks.Identify, analyze, and communicate quality risks related to new features, platform stability, and system interactions, providing data-driven recommendations to executive leadership.

🏢 Summary: Join as a software engineer to develop next-generation technologies for Google Ads, focusing on large-scale infrastructure, distributed systems, and data storage. Work on critical projects with opportunities to switch teams, contributing to Google's advertising products. The role requires versatility, leadership, and enthusiasm to tackle new problems across the full-stack. 🗂️ Requirements: Bachelor's degree or equivalent practical experience, 2 years of experience with software development in C++ or 1 year with an advanced degree, 2 years of experience with large-scale infrastructure, distributed systems, or networks, Experience with large datasets in SQL 📃 Skills: C++, SQL, Java, Python, Machine Learning, Algorithms, Data Structures, Distributed Systems, Networking, Data Storage 🏢 Description: Minimum qualifications: Bachelor's degree or equivalent practical experience.2 years of experience with software development in C++ or 1 year of experience with an advanced degree in an industry setting.2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.Experience working with large datasets in SQL. Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields.2 years of experience with data structures or algorithms.Experience with machine learning model and infrastructure development.Experience coding in Java or Python.Experience developing accessible technologies.Knowledge in the Ads domain (e.g., search, display, video, or shopping).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. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. 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: This software engineering position at Google involves developing next-generation technologies that handle information at massive scale, with opportunities to work on critical projects and switch teams as needed. The role requires versatility, leadership qualities, and enthusiasm for tackling new problems across the full-stack. Compensation includes a competitive salary, bonus, equity, and benefits. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 5 years of experience with software development in programming languages such as C++, Python, JavaScript, Go, 3 years of experience testing, maintaining, or launching software products, 1 year of experience with software design and architecture, 3 years of experience developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture 📃 Skills: C++, Python, JavaScript, Go, Software Design, Architecture, Infrastructure, Distributed Systems, Networks, Compute Technologies, Storage, Hardware Architecture 🏢 Description: Minimum qualifications: Bachelor’s degree or equivalent practical experience.5 years of experience with software development in one or more programming languages (such as C++, Python, JavaScript, Go).3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.3 years of experience developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field.5 years of experience with data structures/algorithms.1 year of experience in a technical leadership role.Experience developing accessible technologies.Experience programming in Go language.Familiarity with Kubernetes development, cloud platforms, or on-premises environments.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. 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 $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 Write and test 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.