🏢 Summary: We are seeking an experienced Manager to lead our Partner Engineering team focused on enterprise and government engagements. In this role, you will be responsible for managing a team of channel partner engineers and direct partner/enterprise/government engineers. You will play a crucial role in developing and implementing strategies for partner enablement, overseeing multiple partner relationships, and driving innovation in our partner engineering processes. 🗂️ Requirements: Bachelor's degree in Computer Science, Engineering, or a related technical field, 10+ years of experience in partner engineering, technical program management, or related roles, 5+ years of experience managing and leading technical teams, Demonstrated practical understanding of AI/ML technologies, cloud platforms, and enterprise software integrations, Experience communicating effectively, influencing, and collaborating across various levels of the organization, Proven track record of successfully managing complex technical projects and partner relationships, Experience working with government agencies and enterprise clients 📃 Skills: Partner Engineering, Technical Program Management, AI/ML Technologies, Cloud Platforms, Enterprise Software Integrations, Communication, Influence, Collaboration, Project Management, Government Agencies, Enterprise Clients 🏢 Description: We are seeking an experienced Manager to lead our Partner Engineering team focused on enterprise and government engagements. In this role, you will be responsible for managing a team of channel partner engineers and direct partner/enterprise/government engineers. You will play a crucial role in developing and implementing strategies for partner enablement, overseeing multiple partner relationships, and driving innovation in our partner engineering processes.Partner Engineering Manager ResponsibilitiesLead and manage a team of channel partner engineers and direct partner/enterprise/government engineers, providing mentorship, guidance, and career development opportunities.Scope, develop, and implement strategic plans for channel partner engagement and enablement that align with company goals and priorities.Oversee multiple channel partner relationships and high-priority lighthouse projects for government and enterprise clients.Collaborate with cross-functional teams to align channel partner initiatives with company goals and drive innovation in partner solutions.Develop and implement strategies for engaging with strategic direct partners and government agencies.Analyze partner requirements and provide recommendations to improve partner integrations and deployments.Contribute to the development of a comprehensive Channel Partner roadmap, taking into account Meta's product roadmap and evolving partner needs.Drive the creation and implementation of business function-specific evaluations and benchmarks to showcase model performance in various use cases.Establish and monitor key performance indicators (KPIs) and success metrics for the team, ensuring continuous improvement in partner engineering processes.Represent the Partner Engineering team in executive-level meetings and communications, advocating for partner needs within Meta.Collaborate with Solutions Architects and Developer Advocates to support sales motions and technical enablement for partners and end customers.Oversee the development and maintenance of technical documentation for partner deployments and integrations.Foster a practice of innovation, continuous learning, and knowledge sharing within the team.Minimum QualificationsBachelor's degree in Computer Science, Engineering, or a related technical field10+ years of experience in partner engineering, technical program management, or related roles5+ years of experience managing and leading technical teamsDemonstrated practical understanding of AI/ML technologies, cloud platforms, and enterprise software integrationsExperience communicating effectively, influencing, and collaborating across various levels of the organizationProven track record of successfully managing complex technical projects and partner relationshipsExperience working with government agencies and enterprise clientsPreferred QualificationsMaster's degree in Computer Science, Engineering, or a related technical fieldExperience with generative AI models and their applications in enterprise and government settingsKnowledge of data privacy, security, and compliance requirements for government and enterprise deploymentsExperience with agile methodologies and project management toolsTrack record of driving innovation and process improvements in partner engineering For those who live in or expect to work from California if hired for this position, please click here for additional information. Start preparingLearn about how to prepare for your interview with our interview guide, tips, and interactive experiences.Visit interview prepAbout Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. $210,000/year to $285,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. Equal Employment Opportunity and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.

🏢 Summary: We are seeking a software engineer to support the development of the compiler tool-chain for state-of-the-art deep learning hardware components optimized for AR/VR systems. 🗂️ Requirements: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience., 2+ years experience writing compilers, runtime, or similar code optimization software., Experience in software design and programming experience in Python and/or C/C++ for development, debugging, testing and performance analysis., Experience in AI framework development or accelerating deep learning models on hardware architectures. 📃 Skills: Compiler, Code optimization, Python, C/C++, AI framework development, Deep learning 🏢 Description: We are seeking a software engineer to support the development of the compiler tool-chain for state-of-the-art deep learning hardware components optimized for AR/VR systems. The successful candidate will be part of our efforts to architect, design and implement a clean slate compiler for this activity and will be part of a team that includes compiler, machine learning algorithms and software, firmware and ASIC experts. The ideal candidate will contribute to a full stack development effort compiling PyTorch models down to binaries for custom hardware accelerator blocks.Software Engineer, ML Compiler ResponsibilitiesAnalyze and design effective compiler passes and optimizations. Implement and/or enhance code generation targeting machine learning accelerators.Work with algorithm research teams to map ML graphs to hardware implementations, model data-flows, create cost-benefit analysis and estimate silicon power and performance.Contribute to the development of machine-learning libraries, intermediate representations, export formats, and analysis tools.Conduct design and code reviews. Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues.Analyze and improve the efficiency, scalability, and stability of our toolchains.Interface with other compiler-focused teams to evaluate and incorporate their innovations and vice versa.Minimum QualificationsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.2+ years experience writing compilers, runtime, or similar code optimization software.Experience in software design and programming experience in Python and/or C/C++ for development, debugging, testing and performance analysis.Experience in AI framework development or accelerating deep learning models on hardware architectures.Preferred QualificationsExperience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, GCC, MSVC, Glow.Experience with machine-code generation or compiler back-ends.Experience working and communicating cross functionally in a team environment.Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, MLIR, Tensorflow or Caffe. For those who live in or expect to work from California if hired for this position, please click here for additional information. Start preparingLearn about how to prepare for your interview with our interview guide, tips, and interactive experiences.Visit interview prepAbout Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. $70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. Equal Employment Opportunity and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.

🏢 Summary: The NVIDIA Tegra Architecture team is seeking a high-quality architect for our Clock and Reset Architecture Team. This position requires an interest in clocks, resets and power management for SOCs. It will also require a strong background in System C-modeling and scripting and an interest in improving methodologies and automations for improving team efficiency. 🗂️ Requirements: Masters or PhD in Electrical Engineering or Computer Engineering, Strong knowledge of clock generation and distribution, Strong knowledge of reset generation and distribution, Good knowledge of ASIC design/verification/implementation flows, Excellent written, verbal and negotiation skills, Excellent analytical and independent problem-solving skills, Strong scripting skills in languages such as Perl or Python, C++/SystemC experience 📃 Skills: clock generation, reset generation, ASIC design, verification, implementation flows, scripting, Perl, Python, C++, SystemC 🏢 Description: Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!  The NVIDIA Tegra Architecture team is seeking a high-quality architect for our Clock and Reset Architecture Team.  This position requires an interest in clocks, resets and power management for SOCs.  It will also require a strong background in System C-modeling and scripting and an interest in improving methodologies and automations for improving team efficiency. What you’ll be doing: In this position, you will have the opportunity to work with a diverse set of teams to model and define clock and reset architecture, based on IP requirements.  This involves working with other IP architects, designers, verification, Physical Design, Software, DFT, Security, Automotive Safety and others.  You will be required to develop and improve architectural C-models and support the teams that use them. You will be required to help capture architectural requirements in various architecture documents clearly and drive their reviews.  You will also be required to review both upstream and downstream specifications and verification plans.  Additionally, you would be involved in implementing methodologies that would help improve the efficiency of the team and the quality of our outputs. What we need to see: Masters or PhD in Electrical Engineering or Computer Engineering (or equivalent experience)  Strong knowledge of clock generation and distribution Strong knowledge of reset generation and distribution Good knowledge of ASIC design/verification/implementation flows Excellent written, verbal and negotiation skills, to work with others and build consensus Excellent analytical and independent problem-solving skills Strong scripting skills in languages such as Perl or Python C++/SystemC experience Ways to stand out from the crowd: Previous Experience with Architectural C-ModelsDetailed knowledge of PLLs, DLLs, etc   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're creative, autonomous and love a challenge, we want to hear from you! The base salary range is 120,000 USD - 235,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. 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: We are seeking a skilled engineer to lead our Client Platform Engineering team. This role will manage a team of engineers driving the development and innovation of the client platform. Results will be measured through user satisfaction of the products you and the team deliver, with efficiency and experience being core metrics of success. 🗂️ Requirements: Bachelor's Degree or equivalent experience in Computer Science, or a related field., 3+ years leading a Client Platform Engineering team., 5+ overall years engineering in DevOps-based configuration management such as Chef, Puppet, Ansible, or Salt., 7+ years in Client Platform Engineering., Experience in more than one OS platform (Windows, Mac, Linux), Excellent problem-solving and interpersonal skills., Ability to collaborate effectively across departments and with external vendors. 📃 Skills: Client Platform Engineering, DevOps, Configuration Management, Chef, Puppet, Ansible, Salt, Windows, Mac, Linux, Problem-solving, Interpersonal skills, Collaboration 🏢 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. We are seeking a skilled engineer to lead our Client Platform Engineering team. This role will manage a team of engineers driving the development and innovation of the client platform. Results will be measured through user satisfaction of the products you and the team deliver, with efficiency and experience being core metrics of success. You will find ways for continual innovation, pushing the boundaries of what's possible for CPE.What you'll be doing:Own the comprehensive management of all of NVIDIA's end-user devices including Windows, Mac, Linux, and Mobile.Own NVIDIA's entire application catalog and ensure version-controlled, error-handled automated deployments are running across all platforms.Partner with our AI Ops team to build models that help improve the platform's level of service.Collaborate with our data team to build a robust data operation around the client platform. Take a broad approach to provide deep analysis of low-level information about our fleet.Be a good partner to team members, senior leadership, and end users - listening to their concerns, taking feedback, and coming up with plans to address macro-level issues across the company where our platform could be a solution.What we need to see:Bachelor's Degree or equivalent experience in Computer Science, or a related field.3+ years leading a Client Platform Engineering team.5+ overall years engineering in DevOps-based configuration management such as Chef, Puppet, Ansible, or Salt.7+ years in Client Platform Engineering.Experience in more than one OS platform (Windows, Mac, Linux)Excellent problem-solving and interpersonal skills.Ability to collaborate effectively across departments and with external vendors.Ways to stand out from the crowd:Prior Software Engineering experienceThe base salary range is 248,000 USD - 391,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. 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: We are looking for a Senior SWQA Test Development Engineer to join our team at NVIDIA. In this role, you will collaborate with multi-functional teams to ensure product quality by developing test plans, designing test cases, and completing testing via automation and/or manual methods. You will also be responsible for managing test environments, reporting and verifying bugs, and contributing to the improvement of test frameworks. 🗂️ Requirements: BS or higher degree in CS/EE/CE or equivalent, 5+ years of QA experience in the Telecom industry, Background with LTE/5G MAC and PHY, Proficient experience in Keysight equipment, Proficient Linux experience and shell/python/perl programming skills, Experience in test cases development, tests automation, and failure analysis, Good QA sense and knowledge in software testing, Problem-solving skills, Excellent interpersonal skills and ability to work in a team 📃 Skills: Quality Assurance, Test Planning, Test Case Design, Test Automation, Linux, Shell Scripting, Python, Perl, LTE, 5G, Keysight Equipment, Failure Analysis 🏢 Description: We are looking for someone to be passionate about quality assurance. You’ll collaborate with multi-functional groups. Senior SWQA Test Development Engineers at NVIDIA aren't only manual testers, you write scripts to automate testing or build tools for QA team, so we can improve productivities or optimize test plan. We'd like to see your ability to identify weak spots and constantly craft better and creative test plans to break software and identify potential issues. You'll have a huge impact on the quality of NVIDIA's enterprise product.What you’ll be doing:Work closely with multi-functional teams to understand the test requirements and take ownership of product quality.Develop test plans, design test cases, complete testing via automation and/or manually and compose test reports.Build and maintain our complicated test environments.Manage bug lifecycle and co-work with inter-groups to drive for solutions.You will assist in the architecture, crafting and implementing of SWQA test frameworks.Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team, raise if not fixed.What we need to see:BS or higher degree or equivalent experience in CS/EE/CE or equivalent with 5+ years QA experience in Telecom industry.Background with LTE/5G MAC and PHY from both systems and low-level 3GPP spec point of view, proficient experience in Keysight equipment.Proficient Linux experience and shell/python/perl programming skills.Rich experience in test cases development, tests automation and failure analysisGood QA sense, knowledge and experience in software testingProblem solving skills.We love people who are highly motivated, have excellent interpersonal skills, and can demonstrate good work ethics and a high sense of teamworkWays to stand out from the crowd:You have a thirst and ability to learn and adapt to new technologiesExperience working with NVIDIA GPU and/or DPU hardware is a strong plusExperience in using or managing cloud technologies like Kubernetes, OpenStack and DockerThe base salary range is 136,000 USD - 264,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. 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 Systems Software engineer to join their team and work on the ultra low latency Streaming technology for GeForce Now. The engineer will be responsible for developing and improving the media streaming stack, optimizing performance and video quality, and analyzing and improving streaming performance and user experience. 🗂️ Requirements: 4+ years experience with proficiency in C, C++, Multi-threaded programming, System software design and debugging skills, Experience implementing and improving performance and video quality through different stages of video processing pipeline, Experience analyzing performance and CPU/GPU resource utilization for video/graphics applications, Experience with usage of different video capture, codec and render pipelines and API, BS or MS or equivalent experience in Computer Science or related subjects 📃 Skills: C, C++, Multi-threaded programming, System software design, Debugging, Video processing, Performance analysis, CPU/GPU resource utilization, Video capture, Codec, Render pipelines, API 🏢 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 seek, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. NVIDIA's GeForce Now, the next-generation gaming service powered by Nvidia GPUs in the cloud, transforms a Mac, any PC or just a mobile device into a high-performance gaming rig. GeForce NOW automatically keeps games up-to-date and users around the globe can instantly stream the latest games in high-definition resolution at the lowest latency for smoothest of gameplay. Just click and play! Visit us at https://www.nvidia.com/en-us/geforce-now We are looking for a Systems Software engineer to join a team of highly skilled and motivated engineers who build the ultra low latency Streaming technology for GeForce Now. We optimize for ultra low latencies and smoothest streaming for every device type making the right trade-offs across portability, performance, QoS and latency in our designs. Now, are you passionate about driving streaming technology to its edge? If you are a self-starter who can challenge the state of art and build innovative solutions and has the persistence to see ideas through, then we are keen to hear from you.What you will be doingDevelop and improve media streaming stack to deliver ultra low streaming latency, video quality and network resilienceOwn end-to-end software development cycle for features and modules and meet performance, reliability, scalability and sustainability requirementsDevelop tools for video perf and quality analysis, verification and tuningDefine and build performance metrics and indicators, leverage data to analyze and improve streaming performance and user experienceParticipate in software reviews and contribute to quality of designs and code across the teamContribute to the evolution of team processes and methodologiesWhat we need to see4+ years experience with proficiency in C, C++, Multi-threaded programming, System software design and debugging skillsExperience implementing and improving performance and video quality through different stages of video processing pipelineExperience analyzing performance and CPU/ GPU resource utilization for video/ graphics applicationsExperience with usage of different video capture, codec and render pipelines and APIBS or MS or equivalent experience in Computer Science or related subjectsWays to stand out from the crowdYou love gaming!Experience in low latency video streaming services and productsExperience writing and / or using Audio/ video driver interfaces across platformsFamiliar with telemetry and visualization tools, data analysis#LI-HybridThe base salary range is 120,000 USD - 235,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. 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: We are seeking a talented Principal Software Engineer - Camera Drivers - with experience in Windows camera driver development to actively contribute toward the delivery of high quality, compelling Windows experiences on first generation silicon. 🗂️ Requirements: Bachelor’s degree in computer science / electrical engineering or related technical field AND 6+ technical engineering experience with coding in languages including, but not limited to, C and C++, 4+ years Windows OS fundamentals and Camera Driver development, 4+ years coding in C/C++ developing firmware and/or device drivers, 4+ years’ experience working with and debugging hardware/firmware/software interactions 📃 Skills: Windows camera driver development, C, C++, Firmware development, Device driver development, Debugging, Hardware/firmware/software interactions 🏢 Description: OverviewAre you interested in having a positive impact on millions of users?  Microsoft Windows Silicon & Systems Integration team (WSSI) is on a journey to deliver iconic end-to-end products across hardware, software, and services that people love and use every day.  A fundamental element of our strategy is building desirable and powerful devices that enable the experiences people want.  Creating these new experiences and devices involves close partnership between hardware engineers, software engineers, designers, and manufacturing along with the various industry partners that closely collaborate to create industry defining firsts.  Our obsession for the right experience combined with our passion to enable everyone to do and be their best is reflected in our devices.   We are seeking a talented Principal Software Engineer - Camera Drivers - with experience in Windows camera driver development to actively contribute toward the delivery of high quality, compelling Windows experiences on first generation silicon.  This position will involve partnering closely with silicon architects, IHVs, OEMs, Windows OS platform teams, Microsoft’s Applied Sciences Group, and other teams to deliver end-to-end optimized device experiences for camera and camera effects.   An understanding of software lifecycle in a device development environment and the interplay between software and hardware development and scheduled will be a requirement for this role.  Key responsibilities for this position include development of kernel and user mode drivers, optimization of driver stacks with Windows OS components and driving performance, stability and feature enhancements for the device level experiences aligned with IHV silicon roadmaps and Microsoft strategies.  Come join us as we scale up our organization to meet the challenges of creating new and innovative experiences and delivering devices that people love.   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 at work and beyond.   In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. QualificationsRequired/Minimum Qualifications Bachelor’s degree in computer science / electrical engineering or related technical field AND 6+ technical engineering experience with coding in languages including, but not limited to, C and C++  OR Equivalent Experience 4+ years Windows OS fundamentals and Camera Driver development.  4+ years coding in C/C++ developing firmware and/or device drivers  4+ years’ experience working with and debugging hardware/firmware/software interactions     Additional or Preferred Qualifications Bachelor’s degree in computer science or electrical engineering  OR related technical field AND 10+ technical engineering experience with coding in languages including, but not limited to, C and C++  OR master’s degree in computer science, Electrical Engineering or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C and C++  OR equivalent experience.  6+ years coding in C/C++ developing firmware and/or device drivers  6+ years’ experience working with and debugging hardware/firmware/software interactions.  2+ years’ experience mentoring engineering team members  Familiarity with System on Chip (SOC) hardware architecture and software for SOC, particularly Image Signal Processors (ISPs) Experience with Windows camera driver development  for MIPI cameras Ability to quickly ramp up on complex and unfamiliar code  Proven track record of shipping high volume consumer devices    Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 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 $180,400 - $294,000 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 will accept applications for the role until January 20th, 2025.  #WSSI #AIPC ResponsibilitiesPartners with appropriate internal and external stakeholders to determine requirements for features and scenarios, including Enhance Secure Sign-on (ESS), Secure Kernel and Trustlets. Leads the identification of dependencies and the development of design documents for features.  Leads by example and mentors others to produce extensible and maintainable code used across products.  Leverages subject-matter expertise to drive multiple group's project plans and work items.  Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale and shares knowledge with other engineers.  Embody our Culture and Values  DATE POSTED: Jan 06, 2025

🏢 Summary: Opportunity for a results-oriented and outstandingly hardworking RTL Design Engineer in the world class Apple mixed-signal silicon design team. Gain experience in logic circuits, analog circuits, software methods, and analysis. Design, verify, and bring-up sophisticated mixed-signal circuits with embedded micro-controller and low power design requirements. 🗂️ Requirements: BS degree in technical discipline with minimum 3 years of proven experience, Solid understanding of mixed signal concepts, RTL design, Verilog and SystemVerilog, Good fundamental knowledge of front-end tools and methodologies, Validated knowledge of synthesis, static timing, DFT, Knowledge of scripting languages (Perl and Python are plusses), Strong communication and presentation skills 📃 Skills: RTL design, Verilog, SystemVerilog, Mixed signal concepts, Front-end tools and methodologies, Synthesis, Static timing, DFT, Scripting languages, Communication, Presentation 🏢 Description: SummaryPosted:Jan 6, 2025Role Number:200585546At Apple, we work every single day to craft products that enrich people’s lives. Do you love working on challenges that no one has solved yet? Do you like changing the game? We have an opportunity for a results-oriented and outstandingly hardworking RTL Design Engineer. Are you early in your journey towards a chip design career and wish to challenge yourself in a technical and multi-disciplinary effort, we have an exciting position for you in the world class Apple mixed-signal silicon design team. This position will encourage building of a solid foundation in logic circuits and entry into understanding analog circuits. You will gain a deeper understanding into a variety of flows fundamental to modern silicon engineering: insight into full custom schematics for analog as well as high-speed digital circuits, translating functionality of such circuits into an efficient software behavioral representation, simulation of such code and ensuring formal equivalence between custom designs and their abstract representation. You will gain experience and knowledge into software methods and analysis that is increasingly important for a variety of disciplines. As a member of our wide-ranging group, you will have the outstanding and phenomenal opportunity to craft upcoming products that will delight and encourage millions of Apple’s customers every single day. Your role will equip you with learning to specify, design, and help in the verification and lab bring-up of sophisticated mixed-signal circuits (digital side).DescriptionIn this job you will get the opportunity to gain knowledge in designing micro-architecting digital blocks within sophisticated mixed-signal circuits with embedded micro-controller, advanced DFT architectures and very low power design requirements. You will be also responsible for RTL coding of blocks specified by you or others. You will participate in the design verification and bring-up of such blocks by writing RTL assertions, debugging code, and otherwise interacting with the design verification team. Additionally, you will support and validate various front end methodology flows that include pre-silicon power analysis, clock domain crossing, reset domain crossing and unified power flow (UPF). You will also participate in the lab bring-up of those circuits by potentially writing test scripts, analyzing lab data, proposing experiments, etc.Minimum QualificationsBS degree in technical discipline with minimum 3 years of proven experience.Preferred QualificationsSolid understanding of mixed signal concepts, RTL design, Verilog and SystemVerilog.Good fundamental knowledge of front-end tools and methodologies (Verilog simulators, linters, clock-domain crossing, reset domain crossing, unified power flow, logic equivalence checkers).Validated knowledge of synthesis, static timing, DFT, is a plus.Validated knowledge of SystemVerilog assertions, checkers, and other design verification techniques are a plus.Knowledge of scripting languages. Perl and Python are plusses.Strong communication and presentation skills.Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant.

🏢 Summary: NVIDIA is seeking a Principal Security Architect to help secure their vehicle central computer software platform. The role involves participating in the design and development of secure software stacks, performing security threat modeling, defining security policies, and optimizing the security architecture to meet performance requirements. The ideal candidate should have extensive experience in secure software design and development, knowledge of computer system architectures and virtualization technologies, and strong communication skills. 🗂️ Requirements: 12+ years of secure software design, development, and analysis, 5+ years of experience building and implementing secure software, BS degree or equivalent experience in Electrical Engineering, Computer Science, or computer engineering, Experience in real-time software development and security, Familiarity with computer system architectures, SoC fundamentals, OS architectures, and networking systems, Expert knowledge in virtualization technologies and building secure multi-tenant embedded platforms, Excellent secure coding programming skills in C/C++, Background with applied cryptography, threat modeling, and common attack vectors, Experience with ARM based SoC architectures and TrustZone implementations, Effective written and verbal communication skills, Ability to work independently and collaboratively in a cross-functional environment 📃 Skills: Secure software design, Secure software development, Real-time software development, Computer system architectures, SoC fundamentals, OS architectures, Networking systems, Virtualization technologies, Embedded platforms, C/C++ programming, Applied cryptography, Threat modeling, Common attack vectors, ARM based SoC architectures, TrustZone implementations, Written and verbal communication 🏢 Description: Today, NVIDIA is 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, encouraging environment where everyone is inspired to do their best work. Drive OS is NVIDIA's central computing software stack designed for the next generation of software defined vehicles in which multiple vehicle domains are hosted on a single hardware computing platform. The DRIVE OS security team is heavily engaged in defining the security architecture of this software platform to ensure that the software defined vehicles of tomorrow are not only operating at the highest performance level, but also achieving high resiliency to cyber attacks. The Drive OS Automotive Software team is looking for a Principal Security Architect to help secure NVIDIA's vehicle central computer software platform. This platform features multiple vehicle domains on a single computing platform running mixed criticality safety and security software enabled by cutting edge virtualization technology. You will work with hardworking and dedicated multi-functional engineering development teams across various vehicle software domains to integrate their work into our DRIVE OS platform, while achieving or exceeding all relevant NVIDIA and automotive standards and guidelines. You'll find the work is exciting, fun, meaningful and challenging!What you’ll be doing:Participate in the definition, architectural analysis, design, and development of secure software stacks for a centralized computing platform.Perform security threat modeling of multi-tenant automotive software architecture.Define operating system security policy and access management for Android, Linux and QNX platforms.Design and recommend security architectures to meet the integrity and availability needs of a vehicle central computing platform.Optimize the security architecture to meet rigid performance requirements while meeting both the safety and functional needs of the product.Mentor teams and developers, promoting guidelines on best security practicesWhat we need to see:12+ years with secure software design, development, and analysis5+ years of experience building and implementing secure software. Requires a BS degree or equivalent experience in Electrical Engineering, Computer Science, or computer engineeringDemonstrated experience in real-time software development and securityFamiliarity with computer system architectures, SoC fundamentals (e.g., caches, buses, memory controllers, debug), OS architectures, and networking systems (e.g., ethernet, CAN, LIN)Expert knowledge in virtualization technologies and building secure multi-tenant embedded platformsExcellent secure coding programming skills in C/C++Background with applied cryptography, threat modeling, and common attack vectorsExperience with ARM based SoC architectures and TrustZone implementationsEffective written and verbal communication skills, ability to work independently, and collaboratively in a cross-functional environmentWays to stand out from the crowd:Experience with automotive software development processes and coding practicesDemonstrated security research experience and publicationsLow level microarchitecture and software development of hypervisors, kernel, device drivers, and debug toolsExperience in formal specification and verification methodsThe base salary range is 224,000 USD - 425,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. 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: Meta Reality Labs is seeking a Research Scientist Intern, Optoelectronic Device Simulation (PhD) to collaborate with researchers and cross-functional partners in developing optoelectronic devices for next-generation AR/VR display applications. The intern will be responsible for literature review, designing optoelectronic devices, developing simulation pipelines, and contributing to research that can be applied to Meta product development. 🗂️ Requirements: Ph.D. degree in Electrical Engineering, Applied Physics, Physics, or a relevant technical field, Deep knowledge in optoelectronic devices and semiconductor laser theory, Direct experience or deep knowledge in multi quantum wells (QW) for different material systems, 2+ years of experience in semiconductor lasers, micro-LEDs, or superluminescent diodes, 2+ years of experience with optical design programs, 2+ years of experience with experimental optics and conducting laboratory work 📃 Skills: Optoelectronic devices, Semiconductor laser theory, Multi quantum wells (QW), Semiconductor lasers, Micro-LEDs, Superluminescent diodes, Optical design programs, Experimental optics, Laboratory work 🏢 Description: Meta Reality Labs brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR and VR that are so compelling that they become an integral part of our lives. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.Research Scientist Intern, Optoelectronic Device Simulation (PhD) ResponsibilitiesCollaborate with researchers and cross-functional partners, communicating research plans, progress, and results.Literature review to systematically analyze the bottlenecks and opportunities of current light source for various AR/VR display architectures at Meta.Design novel optoelectronic devices (semiconductor lasers, micro-LEDs, or superluminescent diodes) for next generation AR/VR display applications.Develop optoelectronic simulation pipelines with commercial software and Python (or Matlab) scripts, and form close-loop analysis with experimental data.Publish research results and contribute to research that can be applied to Meta product development.Minimum QualificationsCurrently has or is in the process of obtaining a Ph.D. degree in Electrical Engineering, Applied Physics, Physics, or a relevant technical field.Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.Deep knowledge in optoelectronic devices, semiconductor laser theory, solid state physics.Direct experience or deep knowledge in multi quantum wells (QW) for different material systems such as GaAs-, GaN-, and InP- based light sources.2+ years of experience in at least one of the following areas of optical research: semiconductor lasers, micro-LEDs, superluminescent diodes.2+ years of experience with optical design programs such as Lumerical, PhotoDesign, LaserMOD, Crosslight or similar.2+ years of experience with experimental optics and conducting laboratory work (i.e., demonstrated ability to construct proof-of-concept systems and to evaluate performance).Preferred QualificationsIntent to return to the degree program after the completion of the internship or co-op.Experience working and communicating cross-functionally in a team environment.Proven track record of achieving significant results, as demonstrated by grants, fellowships, patents, and first-authored publications in leading journals such as applied physics letters. For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. $7,313/month to $11,293/month + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. Equal Employment Opportunity and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.

🏢 Summary: We are seeking a Senior Field Applications Engineer to join our team and play a vital role in introducing our groundbreaking GPU products to various deployments. If you have a strong passion for system design and a successful history of engaging with customers on a technical level, this is an excellent opportunity for you to make a substantial contribution. 🗂️ Requirements: BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience), 5+ years of work-related experience in the high-tech electronics industry, particularly in system design or technical customer support roles, Capable of excelling in a dynamic, constantly evolving environment, Remarkable talent for effectively managing multiple initiatives and priorities, Expert analytical and problem-solving abilities, Strong time-management and organizational skills for coordinating complex projects, Excellent written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams 📃 Skills: GPU, Networking, System design, Deep learning inference, C/C++, Python, Embedded Linux Systems, APIs, ARM, NVIDIA GPU development, OEMs, CPU architecture 🏢 Description: We are currently seeking a Senior Field Applications Engineer to join our dedicated and hardworking team. At NVIDIA, we are leading the AI computing revolution, creating innovative deep learning solutions that are transforming industries globally. As a member of our team, you will play a vital role in introducing our groundbreaking GPU products to various deployments, from data centers to edge computing. If you have a strong passion for system design and a successful history of engaging with customers on a technical level, this is an excellent opportunity for you to make a substantial contribution. What you'll be doing:Be a technical specialist on GPU and networking products, directly supporting sales account managers to secure design wins.Actively establish and nurture technical relationships with engineers, management, and architects at key customer accounts.Identify customer architectures and key product requirements in the CSP/OEM AI market to successfully implement NVIDIA's solutions.Provide onsite support to solve hardware and software problems, with a focus on deep learning inference.Lead the product through its entire lifecycle, from the design-in phase to end-of-life, ensuring flawless execution and customer happiness.Develop technical solutions including hardware & software demos and example system designs.Offer technical and sales training to direct sales teams and channel partners.Establish strong communication channels and collaborative relationships with internal teams to ensure a positive customer experience. What we need to see:BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience). 5+ years of work-related experience in the high-tech electronics industry, particularly in system design or technical customer support roles.Capable of excelling in a dynamic, constantly evolving environment.Remarkable talent for effectively managing multiple initiatives and priorities.Expert analytical and problem-solving abilities.Strong time-management and organizational skills for coordinating complex projects.Excellent written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams. Ways to stand out from the crowd:Experience with ARM and NVIDIA GPU development.Proficiency in C/C++ and Python programming. Knowledge of Embedded Linux Systems, APIs, and similar embedded OS.Experience working with OEMs in industrial, military, and ruggedized computing spaces.In-depth understanding of CPU architecture.The base salary range is 132,000 USD - 253,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. 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 Deep Learning Computer Architect to design hardware accelerator and processor architectures for machine learning and data analytics algorithms and applications. This position offers the opportunity to have a real impact in a dynamic, technology-focused company. 🗂️ Requirements: MS or PhD degree in computer science, computer architecture, electrical engineering or related field, 5+ years of relevant experience in computer architecture, performance analysis and optimization, deep learning workloads, and core deep learning kernels, Programming fluency in C++ and Python, Experience with GPU computing (CUDA) and deep learning frameworks like PyTorch 📃 Skills: Computer architecture, Performance analysis, Optimization, Deep learning workloads, Parallelization, Fusion strategies, Core deep learning kernels, C++, Python, GPU computing (CUDA), Deep learning frameworks (PyTorch) 🏢 Description: We are now looking for a Deep Learning Computer Architect!NVIDIA is seeking architects like you to help design hardware accelerator and processor architectures that enable state of the art machine learning and data analytics algorithms and applications on our next-generation mobile, embedded and datacenter platforms. This position offers you the opportunity to have a real impact in a dynamic, technology-focused company.What you'll be doing:As a member of our deep learning architecture team, you will contribute to features that help next-generation GPUs advance the state of AI.This position requires you to keep up with the latest DL research and collaborate with diverse teams (internal and external to NVIDIA), including DL researchers, hardware architects, and software engineers.Your day to day work will include analyzing the behavior of various deep learning methods, proposing new features to accelerate or enable various methods, and studying the benefits of the proposed features.What we need to see:MS or PhD degree in computer science, computer architecture, electrical engineering or related field or equivalent experience.5+ years of relevant experience in at least a few of the following relevant areas is required in your work history:Computer architecture;Performance analysis and optimization;Experience with deep learning workloads, including performance tuning considerations such as parallelization and fusion strategies;Experience with core deep learning kernels such as matrix multiply and convolutionProgramming fluency with C++ and ideally PythonExperience with GPU computing (CUDA)Experience with deep learning frameworks like PyTorchIntelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time. The era of AI has begun. 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're creative, autonomous and love a challenge, we want to hear from you! Come, join our DL Architecture team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.​The base salary range is 184,000 USD - 425,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. 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.#deeplearning

🏢 Summary: WhatsApp Data Science is looking for an experienced manager to lead our Growth Data Science team, advancing our understanding of trends in users behavior to influence strategy, identify opportunities to drive growth, and execute on projects by partnering with cross-functional teams to deliver long-term impact. 🗂️ Requirements: BS degree in a quantitative discipline, Minimum of 7 years of work experience in applied quantitative field, 2+ years of experience managing analytics teams, Experience working on consumer facing products, Experience in cross-functional partnership among teams, Demonstrated executive communication skills 📃 Skills: Data analysis, Statistics, Operations research, Econometrics, Computer science, Engineering, Team leadership, People management, Cross-functional collaboration, Executive communication 🏢 Description: WhatsApp Data Science is looking for an experienced manager to lead our Growth Data Science team, advancing our understanding of trends in users behavior to influence strategy, identify opportunities to drive growth, and execute on projects by partnering with cross-functional teams to deliver long-term impact. WhatsApp Growth has lean teams that take outsized ownership and the scope/impact per person is typically larger than equivalent teams at Meta. The work is composed of a few different areas: US Growth, Access/SMS, Global Growth and cross-Meta features. We are in the midst of advancing our approach to analytics and becoming an increasingly data-informed organization. We're looking for someone who can provide transformational leadership, institute new methodologies, and shape a healthy focus on data. You can be expected to build the growth playbook for WhatsApp, getting into the weeds of growth tactics as well as zooming out to the big picture of the overall strategy and approach. WhatsApp wants to become the the most preferred messaging app in several large markets. To get there, we need a capable data leader to bring data to find the biggest opportunities for growth, help us increase velocity, and ultimately get millions more people onto Whatsapp.Data Science Manager, WhatsApp Growth ResponsibilitiesShape the strategic direction of our growth initiativesInvest in data foundations and analytical methods to sharpen our understanding of growth leversHire & support the DS team in an ambiguous and fast paced environmentPartner with a cross-functional team to achieve our ambitious long-term goalsMonitor performance against Whatsapp's ambitious growth goalsBuild strong experimentation rigor across Growth experimentsMinimum QualificationsBS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experienceA minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field, including 2+ years of experience managing analytics teams5+ years of experience in a team leadership role, including 2+ years of experience with people management through layersA minimum of 2 years of experience working on consumer facing productsExperience communicating both in low-level technical details as well as high-level strategiesExperience in cross-functional partnership among teams of Engineering, Design, PM, Data EngineeringDemonstrated executive communication skills, given the need to present to Leadership Executives at WhatsappPreferred QualificationsMaster’s or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.Proven track record of leading high-performing analytics teams.7+ years of experience doing quantitative analysis, statistical modeling or machine learning in the experimentation spacePrior experience directly working on growth problems for consumer apps For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. $206,000/year to $281,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. Equal Employment Opportunity and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.

🏢 Summary: Join the NVIDIA Maxine AI team and work on groundbreaking AI algorithms for video communication and telepresence. Solve ambitious computer vision and deep learning problems in areas such as avatar animation, 3D reconstruction, hand pose prediction, and video artifact removal. 🗂️ Requirements: 3+ years of engineering or research experience in 3D computer vision, animation, or graphics, Strong background in building deep learning models, Hands-on development skills using PyTorch, TensorFlow, or ONNX, Ability to work independently and drive development towards milestones, MS or PhD in Computer Science, Computer Engineering, or related field, Experience with avatar generation/animation, NeRF, human/environment relighting is a plus, Experience with real-time tracking of human face, gaze, and body is a plus, Background in building AI models for real-time use cases and/or low power platforms is a plus, Experience with CUDA programming and performance optimization is a plus 📃 Skills: 3D computer vision, Animation, Graphics, Deep learning, PyTorch, TensorFlow, ONNX, Avatar generation, NeRF, Human/environment relighting, Real-time tracking, CUDA programming, Performance optimization 🏢 Description: NVIDIA has been transforming computer graphics and accelerated computing for more than 25 years. In the AI era, it’s a unique legacy of innovation that’s fueled by great technology and amazing people. NVIDIA Maxine is a developer platform for creating and deploying AI features for real-time video communication and telepresence (https://developer.nvidia.com/maxine). Maxine provides state-of-the-art AI models for deploying video/audio enhancement and augmented reality features. Maxine also offers end to end pipelines of multiple low latency AI effects accelerated on NVIDIA GPUs. We are now looking for outstanding engineers to join the NVIDIA Maxine AI team. You will work alongside brilliant engineers on core technologies to solve ambitious computer vision and deep learning problems, especially building real-time AI algorithms for video communication and telepresence.What You’ll Be Doing:You will work on groundbreaking AI algorithms that transform the industry in following areas:Avatar animation or live portrait driven by video, audio and text3D reconstruction and neural radiance field (NeRF)3D human and environmental relighting Hand pose prediction and recognition3D human face/body/gaze trackingVideo artifact removal, enhancement and style transferWhat We Need To See:3+ years of engineering or research experience in 3D computer vision, animation or graphicsStrong background in building deep learning modelsHands-on development skills using deep learning frameworks such as PyTorch/TensorFlow/ONNXAbility to work independently and drive your own development towards milestones and deliverablesMS, or PhD in Computer Science, Computer Engineering, or closely related field or equivalent experienceWays to stand out from the crowd:Experience with avatar generation/animation, NeRF, human/environment relightingExperience with real-time tracking of human face, gaze and bodyBackground with building AI models for real-time use case and/or low power platformExperience with CUDA programming, and performance optimizationNVIDIA is widely considered to be one of the technology world’s most desirable employers. As a part of NVIDIA, we have the opportunity to influence the future with your vision and expertise. Are you creative? We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive 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. The base salary range is 148,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. 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.#deeplearning

🏢 Summary: The Technical Content Experience (TCX) team is looking for a programmer writer to support Amazon Glue, a scalable, serverless data integration service. The candidate should have a technical background with experience in writing technical documentation and understanding of identity and access management concepts. 🗂️ Requirements: Technical background with experience in writing technical documentation, Understanding of identity and access management concepts, Ability to think big and anticipate customer needs, Experience in seamless interactions with software developers, technical product managers, and customers 📃 Skills: Technical writing, Identity and access management, Customer interaction, Software development, Technical product management 🏢 Description: DESCRIPTIONAre you a coder who loves to write? Do you want to have a profound impact on the future of Cloud Technology? The Technical Content Experience (TCX) team, also known as AWS Documentation, is looking for a programmer writer to support Amazon Glue, a scalable, serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development.You will need a technical background with experience writing technical documentation. You should also understand identity and access management concepts and have respect for security best practices. You should have a unique ability to think big and anticipate how customers will want to use AWS services together to deliver results.This is an opportunity to explain complex information concisely. The successful candidate will demonstrate a history of seamless interactions with software developers, technical product managers, developer advocates, customer representatives, and customers. This is a customer-obsessed, dynamic team of talented, geographically distributed, highly technical communicators. Join us on our journey to provide high-quality documentation and code examples to our customers.1002710028Key job responsibilities* Create and maintain technical content for Amazon Glue customers that is accurate, discoverable, and well-organized.* Work with metrics and stakeholders to make improvements to Amazon Glue documentation and UX to continually improves customer experience.* Develop scripts, sample code, and technical procedures that are easy to use.* Produce multi-service code examples that reflect common customer journey and usage patterns.* Develop and formalize working relationships and processes to ensure code examples in guides are up to date, run as expected, and have unit tests.* Develop and lead initiatives on the Code Examples team to improve code example delivery and publication mechanisms.* Provide thorough and insightful peer code reviews.* Mentor junior team members in team tools and processes, and provide guidance in how to create and publish code examples.* Implement efficiencies that increase team output.* Anticipate customer needs and be the "first customer".* Dive deep to become a subject-matter expert in your area of ownership.* Impact product CX, UX design, roadmap priorities, and engineering team goals.A day in the lifeOur team puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.About the teamThe AWS Documentation team writes and provides support for a diverse technical audience, such as developers, DevOps professionals, IT professionals, and technical program managers. On behalf of our customers, we innovate, we research, we learn, and we experiment. We collaborate with product managers to understand our customers’ needs. We partner with software developers to learn about the inner workings of AWS services so that we can influence product design and the customer experience with the product. We know that what we do makes a difference to our customers. We work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.BASIC QUALIFICATIONS* Degree or certification in a relevant technical field or equivalent experience * A minimum of 5 years in a technical writing or programming role with high-quality written work artifacts * Proven experience designing and delivering developer-oriented documentation * Experience with or understanding of cloud computing, including cloud storage technologies * Experience with open-source libraries * Experience with API documentation * Experience working directly with software engineering and development teams * Strong written and verbal communication skills * Passion for learning new tools, programming languages, and techniques * Passion to thrive in a fast-paced, ever-changing environment * A proactive and open-minded attitude to resolving problems and delivering resultsPREFERRED QUALIFICATIONS* Experience designing, planning, and delivering content solutions that meet the needs of technical business customers * Experience with XML-based publishing systems and working with XML, markdown, and HTML * Familiarity with using and following a style guide Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $70,100/year in our lowest geographic market up to $173,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.