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As a Silicon Power Engineer, you will be responsible for performing test case execution, debugging silicon issues related to correlation and functionality, and generating high-quality results and providing design feedback.</p>\n<p>You will work alongside system architects, chip and board designers, software/firmware engineers, HW/SW applications engineers, process/reliability specialists, ATE engineers, and operations in a dynamic and high-energy work environment to bring industry-defining products to market.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Collaborating with cross-functional teams to craft essential next-generation product features that are important for performance, power optimization, and power management.</li>\n<li>Collaborating to craft tools for post-silicon work, build post-silicon methodologies to characterize silicon power, correlate silicon behavior with simulation.</li>\n<li>Working with various Arch &amp; Design teams to come up with test plans of new features.</li>\n<li>Collaborating with other validation &amp; bring-up teams to bring up/characterize silicon power and power saving features.</li>\n<li>Working with design &amp; estimation teams to correlate with pre-silicon expectation, work with HW and SW teams to do the vital tuning and optimization of silicon power.</li>\n<li>Developing power consumption models to be used in binning, productization, and customer application notes, characterize and develop various power control mechanisms together with Arch/Design/SW teams.</li>\n</ul>\n<p>We need to see:</p>\n<ul>\n<li>B. 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You will develop and deploy in-house tools and workflows to support engineering business units across NVIDIA. You will take ownership of tools that verify common design blocks used in all products at NVIDIA. You will act as a &#39;DevOps&#39; engineer for automated RTL generation by developing new features and maintaining efficient operations for existing users. You will build new workflows and methodologies to ensure smooth integration into various IP development environments.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop and deploy in-house tools and workflows to support engineering business units across NVIDIA.</li>\n<li>Take ownership of tools that verify common design blocks used in all products at NVIDIA.</li>\n<li>Act as a &#39;DevOps&#39; engineer for automated RTL generation by developing new features and maintaining efficient operations for existing users.</li>\n<li>Build new workflows and methodologies to ensure smooth integration into various IP development environments.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor&#39;s or Master&#39;s degree in Electrical Engineering or Computer Engineering (or equivalent experience).</li>\n<li>3+ years of proven experience preferred.</li>\n<li>Solid understanding of fundamental digital design concepts with hands-on experience in Verilog.</li>\n<li>Proficiency in scripting using modern Python and/or Perl.</li>\n<li>Experience with Unix/Linux shell scripting and Makefiles.</li>\n<li>Strong ability to collaborate with multi-functional teams and effectively communicate technical details.</li>\n</ul>\n<p>Preferred qualifications:</p>\n<ul>\n<li>Prior experience in ASIC verification.</li>\n<li>Knowledge of Clocks/Resets design and verification.</li>\n<li>Exposure to CDC related design/verification flows.</li>\n<li>Exposure to backend flows (Synthesis, Timing, etc).</li>\n</ul>\n<p>NVIDIA is widely considered to be one of the technology world&#39;s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of constant innovation and creating the highest performance products in the industry? 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For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has grown to encompass video games, movie production, product design, medical diagnosis, and scientific research.</p>\n<p>Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning. This new model - where deep neural networks are trained to recognize patterns from meaningful amounts of data - has shown to be deeply effective at solving the most sophisticated problems in everyday life.</p>\n<p>As a Senior ASIC Verification Engineer at NVIDIA, you will verify the design and implementation of our innovative high speed coherent interconnects for our mobile SoCs and GPUs. This position offers the opportunity to have real impact in a multifaceted, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>In this position, you will be responsible for verification of high-speed coherent interconnect design, architecture and golden models.</li>\n<li>You will be responsible for micro-architecture using sophisticated verification methodologies.</li>\n<li>As a member of our verification team, you&#39;ll understand the design &amp; implementation, define the verification scope, develop the verification infrastructure (Testbenches, BFMs, Checkers, Monitors), complete test/coverage plans, and verify the correctness of the design. This role will collaborate with architects, designers, emulation, and silicon verification teams to accomplish your tasks.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Bachelors or Master’s Degree (or equivalent experience)</li>\n<li>3+ years of relevant verification experience</li>\n<li>Experience in architecting test bench environments for unit level verification</li>\n<li>Background in verification using random stimulus along with functional coverage and assertion-based verification methodologies</li>\n<li>Prior Design or Verification experience of Coherent high-speed interconnects</li>\n<li>Knowledge of industry standard interconnect protocols like PCIE, CXL, CHI will be useful</li>\n<li>Strong background developing TB&#39;s from scratch using SV and UVM methodology is desired</li>\n<li>C++ programming language experience, scripting ability and an expertise in System Verilog</li>\n<li>Exposure to design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB)</li>\n<li>Strong debugging and analytical skills</li>\n<li>Experienced communication and interpersonal skills are required. 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If you&#39;re creative and autonomous, we want to hear from you.</p>\n<p>You will also be eligible for equity and benefits.</p>\n<p>Applications for this job will be accepted at least until March 13, 2026.</p>\n<p>This posting is for an existing vacancy.</p>\n<p>NVIDIA uses AI tools in its recruiting processes.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b4d3cb52-7c4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://nvidia.wd5.myworkdayjobs.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-ASIC-Verification-Engineer--Coherent-High-Speed-Interconnect_JR2010025","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Verification of high-speed coherent interconnect design, architecture and golden models","Micro-architecture using sophisticated verification methodologies","Testbenches, BFMs, Checkers, Monitors","System Verilog","C++ programming language","Design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB)"],"x-skills-preferred":["Random stimulus along with functional coverage and assertion-based verification methodologies","Prior Design or Verification experience of Coherent high-speed interconnects","Knowledge of industry standard interconnect protocols like PCIE, CXL, CHI"],"datePosted":"2026-03-09T20:46:52.056Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"US, CA, Santa ClaraUS, MA, WestfordUS, TX, AustinUS, OR, Hillsboro"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Verification of high-speed coherent interconnect design, architecture and golden models, Micro-architecture using sophisticated verification methodologies, Testbenches, BFMs, Checkers, Monitors, System Verilog, C++ programming language, Design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB), Random stimulus along with functional coverage and assertion-based verification methodologies, Prior Design or Verification experience of Coherent high-speed interconnects, Knowledge of industry standard interconnect protocols like PCIE, CXL, CHI"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a850c6de-04e"},"title":"Senior Systems Engineer, Artificial Intelligence Operations","description":"<p>You will be working as a Senior Systems Engineer in our Artificial Intelligence Operations team. We&#39;re building AI platforms for operating AI factories to make a lasting impact on resilient operations of AI clusters.</p>\n<p><strong>What you&#39;ll be doing:</strong></p>\n<p>You will bring together and understand internal and external customer requirements to improve AI cluster resiliency and design AIOps-based solutions that address these needs. You will develop automated workflows for issue detection and root cause analysis and closely collaborate with operators to debug sophisticated, full-stack AI cluster problems. 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You will also be eligible for equity and benefits. 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You will research and develop techniques to GPU-accelerate high-performance workloads at the intersection of AI and financial markets. You will work directly with other technical experts in their fields to perform in-depth analysis and optimization of complex AI and HPC workloads to ensure the best possible performance on modern CPU and GPU architectures. You will publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the Developer community. You will influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Research and develop techniques to GPU-accelerate high-performance workloads at the intersection of AI and financial markets.</li>\n<li>Work directly with other technical experts in their fields to perform in-depth analysis and optimization of complex AI and HPC workloads to ensure the best possible performance on modern CPU and GPU architectures.</li>\n<li>Publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the Developer community.</li>\n<li>Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>An advanced degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).</li>\n<li>5+ years of relevant work or research experience.</li>\n<li>Direct experience improving the performance of large computational applications used by financial institutions.</li>\n<li>Excellent understanding of linear algebra.</li>\n<li>Programming fluency in C/C++ with a deep understanding of algorithms and software design.</li>\n<li>Hands-on experience with low-level parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, TBB, etc.</li>\n<li>In-depth expertise with CPU/GPU architecture fundamentals.</li>\n<li>Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.</li>\n</ul>\n<p><strong>Ways to stand out from the crowd:</strong></p>\n<ul>\n<li>A Master’s or PhD in a relevant field is highly valued.</li>\n<li>Prior work experience in capital markets with exposure to systematic/algorithmic strategies and quantitative trading.</li>\n<li>Experience with parallelizing and optimizing machine learning algorithms like decision trees, time series, and Monte Carlo simulations.</li>\n<li>Deep knowledge of financial data models, pricing/risk simulation algorithms, portfolio optimization, or other financial specific applications/ services.</li>\n<li>Have developed ML/DL techniques in the finance space, such as stock market prediction, fraud detection, portfolio optimization/selection.</li>\n</ul>\n<p>You will also be eligible for equity and benefits.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_af442d9f-834","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://nvidia.wd5.myworkdayjobs.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-AI-Developer-Technology-Engineer--Financial-Sector_JR2013482","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["C/C++","CUDA","OpenACC","OpenMP","MPI","pthreads","TBB","CPU/GPU architecture fundamentals","Linear algebra","Parallel programming"],"x-skills-preferred":["Machine learning","Deep learning","Financial data models","Pricing/risk simulation algorithms","Portfolio optimization"],"datePosted":"2026-03-09T20:46:22.712Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Clara, Remote, New York"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C/C++, CUDA, OpenACC, OpenMP, MPI, pthreads, TBB, CPU/GPU architecture fundamentals, Linear algebra, Parallel programming, Machine learning, Deep learning, Financial data models, Pricing/risk simulation algorithms, Portfolio optimization"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ce88828f-470"},"title":"Solutions Architect, AI and ML","description":"<p>We are building the world&#39;s leading AI company and are looking for an experienced Cloud Solution Architect to help assist customers with adoption of GPU hardware and Software, as well as building and deploying Machine Learning (ML), Deep Learning (DL), data analytics solutions on various Cloud Computing Platforms.</p>\n<p>As part of the Solutions Architecture team, we work with some of the most exciting computing hardware and software technologies including the latest breakthroughs in machine learning and data science. A Solutions Architect is the first line of technical expertise between NVIDIA and our customers so you will engage directly with developers, researchers, and data scientists with some of NVIDIA&#39;s most strategic technology customers as well as work directly with business and engineering teams on product strategy.</p>\n<p><strong>What you will be doing:</strong></p>\n<ul>\n<li>Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA&#39;s ML/DL and data science software and hardware technologies</li>\n</ul>\n<ul>\n<li>Build and deploy AI/ML solutions at scale using NVIDIA&#39;s AI software on cloud-based GPU platforms.</li>\n</ul>\n<ul>\n<li>Build custom PoCs for solution that address customer&#39;s critical business needs applying NVIDIA hardware and software technology</li>\n</ul>\n<ul>\n<li>Partner with Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities for NVIDIA products and solutions for ML/DL and other software solutions</li>\n</ul>\n<ul>\n<li>Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.</li>\n</ul>\n<ul>\n<li>Conduct regular technical customer meetings for project/product roadmap, feature discussions, and intro to new technologies. 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As a trusted technical advisor to our CAE developers and customers, you will be responsible for embedding NVIDIA software into developers&#39; architectures and workflows.</p>\n<p><strong>What you&#39;ll be doing:</strong></p>\n<ul>\n<li>Support Business Development and Sales teams as part of a team of 4, partnering with Industry Business leads, Account Managers, and Developer Relations managers to drive our developers&#39; ecosystem success.</li>\n<li>Work directly with developers and customers in a customer-facing setting.</li>\n<li>Support developers in adopting NVIDIA libraries and software frameworks as the foundation for modern AI and data platforms.</li>\n<li>Analyze application architectures and find opportunities for acceleration.</li>\n<li>Provide feedback and collaborate with engineering, product, and research teams.</li>\n<li>Deliver trainings, hackathons, and technical demonstrations on NVIDIA solutions and platforms.</li>\n</ul>\n<p><strong>What we need to see:</strong></p>\n<ul>\n<li>A MS/PhD degree in Machine Learning, Computational Science, Physics, or a related technical field.</li>\n<li>Minimum of 5 years of technical experience in Physics-Machine Learning.</li>\n<li>Experience in engineering simulations (e.g. fluid dynamics, atmospheric science, Computer-Aided Engineering technologies).</li>\n<li>Familiarity with accelerated computing platforms and GPU-based distributed systems.</li>\n<li>Experience in algorithm programming using languages like Python and C/C++.</li>\n<li>Development experience using major AI frameworks (e.g., PyTorch, Tensorflow, and similar tools).</li>\n<li>Familiarity with containers, numerical libraries, modular software design, version control, GitHub.</li>\n<li>Experience designing, prototyping, and building complex AI/ML-based solutions for customers.</li>\n<li>Able to reason across components such as data pipelines, models, compute, networking, and orchestration.</li>\n<li>Solid written and oral communications skills and familiarity with collaborative environments.</li>\n<li>Great teammate who can learn, react, and adapt quickly with a mentality to work for a fast-paced environment.</li>\n</ul>\n<p><strong>Ways to stand out from the crowd:</strong></p>\n<ul>\n<li>Development experience with NVIDIA software libraries and GPUs.</li>\n<li>Experience with Kubernetes, distributed training, and large-scale inference.</li>\n<li>Experience supporting or utilizing PCIe accelerators such as GPUs, FPGAs, DSPs from evaluation to production stages.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1060dfc7-676","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://nvidia.wd5.myworkdayjobs.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Switzerland-Remote/Solution-Architect--Computer-Aided-Engineering_JR2014310-1","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Machine Learning","Computational Science","Physics","Python","C/C++","PyTorch","Tensorflow","Containers","Numerical libraries","Modular software design","Version control","GitHub"],"x-skills-preferred":["Kubernetes","Distributed training","Large-scale inference","NVIDIA software libraries","GPU-based distributed systems"],"datePosted":"2026-03-09T20:46:03.931Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Computational Science, Physics, Python, C/C++, PyTorch, Tensorflow, Containers, Numerical libraries, Modular software design, Version control, GitHub, Kubernetes, Distributed training, Large-scale inference, NVIDIA software libraries, GPU-based distributed systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_335f783d-2a0"},"title":"Senior System Software Engineer, Client Embedded Controller","description":"<p>We are looking for a strong technical Firmware engineer to own firmware development for embedded controllers. You will work with various stakeholders internally and externally, to understand requirements, implement features, debug issues, and provide technical support to partners and customers.</p>\n<p><strong>Role Details:</strong></p>\n<ul>\n<li>Designing, implementing, and delivering Embedded Controller (EC) firmware for client devices</li>\n<li>Integration of EC firmware with other platform firmware</li>\n<li>Providing technical support to the EC Chip vendors and OEMs/ODMs</li>\n<li>Partnering with the EC Chip vendors to ensure products work best with NVIDIA products</li>\n<li>Working with hardware teams to review HW architecture &amp; schematics</li>\n<li>Collaborating with QA/Test architects to produce proper test tools and automation for qualifying firmware</li>\n<li>Developing collaterals for EC chip vendors and OEMs/ODMs</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Bachelor’s Degree or higher in Electrical Engineering or Computer Science (or equivalent experience), and 5+ yrs of proven experience, with demonstrated strong ability as individual contributor</li>\n<li>Experience implementing firmware in ARM Architecture</li>\n<li>Experience implementing system software in a Linux OS environment</li>\n<li>Experience implementing Embedded Controller (EC) firmware</li>\n<li>Solid experience in C/C++ development</li>\n<li>Solid understanding of low-level interfaces like GPIO/I2C/SPI/eSPI/PCIe/JTAG etc. PCIe enumeration, IO at platform level for notebooks</li>\n<li>Experience working closely with HW teams, ODMs and vendors to introduce and support notebooks</li>\n<li>Background in python for scripting, and debugging skills in embedded Linux operating environments</li>\n<li>Excellent written and oral communication skills, good work ethics, high sense of teamwork, love to produce quality work and a commitment to finish your tasks every single day</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>Experience in Zephyr OS</li>\n<li>Expertise in Arm embedded architecture</li>\n<li>Experience in supporting Windows on Arm platforms</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_335f783d-2a0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://nvidia.wd5.myworkdayjobs.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Taiwan-Taipei/Senior-System-Software-Engineer--Client-Embedded-Controller_JR2013136-1","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Firmware development","Embedded Controller (EC) firmware","ARM Architecture","Linux OS environment","C/C++ development","Low-level interfaces","GPIO/I2C/SPI/eSPI/PCIe/JTAG","Python scripting","Embedded Linux operating environments"],"x-skills-preferred":["Zephyr OS","Arm embedded architecture","Windows on Arm platforms"],"datePosted":"2026-03-09T20:45:55.651Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Taipei, Hsinchu"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Firmware development, Embedded Controller (EC) firmware, ARM Architecture, Linux OS environment, C/C++ development, Low-level interfaces, GPIO/I2C/SPI/eSPI/PCIe/JTAG, Python scripting, Embedded Linux operating environments, Zephyr OS, Arm embedded architecture, Windows on Arm platforms"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_00fdc4b4-f89"},"title":"Senior System Level Test Engineer","description":"<p>We are now looking for a Senior System Level Test Engineer to implement the world&#39;s leading SoCs, GPUs, and ASICs. This position offers the opportunity to have real impact in a multifaceted, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence.</p>\n<p><strong>What you&#39;ll be doing:</strong></p>\n<ul>\n<li>Lead the design, automation, and validation of System Level Tests (SLT) for HVM (High Volume Manufacturing) for complex, high power, high speed SOCs.</li>\n<li>Develop and integrate test flows, scripts, and automation to ensure robust SLT coverage and seamless communication between test controllers and peripherals.</li>\n<li>Partner with system architecture, chip design, and validation teams to define and deliver production-ready SLT and HVM test solutions.</li>\n<li>Drive custom SLT development to optimize system performance, power efficiency, and test coverage.</li>\n<li>Oversee handler selection, enablement, and hardware integration – including PCB design, socket selection, and temperature control systems.</li>\n<li>Improve manufacturing test quality by enhancing test correlation, yield, and reliability across NPI, HVM, and RMA processes.</li>\n<li>Collaborate closely with OSATs on production enablement, sustaining, yield analysis, and DPPM reduction initiatives.</li>\n<li>Support silicon qualification and reliability testing (HTOL, Burn in) at the system level.</li>\n</ul>\n<p><strong>What we need to see:</strong></p>\n<ul>\n<li>MS/PhD in Electrical Engineering, Computer Science, or Computer Engineering (or equivalent experience).</li>\n<li>12+ years of experience in Systems level test, systems validation, and/or bench testing.</li>\n<li>Experience in new silicon bring up at the system level.</li>\n<li>Experience in driving SLT testing and deployment for HVM.</li>\n<li>Experience with testing and characterization of high power SOCs and High Speed I/Os.</li>\n<li>Knowledge of network topology and experience in network connectivity.</li>\n<li>Proficient in C#, C/C++, PERL, Python, .NET framework.</li>\n<li>Experience in Security provisioning and knowledge of fuse programming implementation.</li>\n</ul>\n<p>Widely considered to be one of the technology world&#39;s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/</p>\n<p>You will also be eligible for equity and benefits.</p>\n<p>Applications for this job will be accepted at least until March 13, 2026.</p>\n<p>This posting is for an existing vacancy.</p>\n<p>NVIDIA uses AI tools in its recruiting processes.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_00fdc4b4-f89","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://nvidia.wd5.myworkdayjobs.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-System-Level-Test-Engineer_JR2013156","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["MS/PhD in Electrical Engineering, Computer Science, or Computer Engineering","12+ years of experience in Systems level test, systems validation, and/or bench testing","Experience in new silicon bring up at the system level","Experience in driving SLT testing and deployment for HVM","Experience with testing and characterization of high power SOCs and High Speed I/Os"],"x-skills-preferred":["C#","C/C++","PERL","Python",".NET framework"],"datePosted":"2026-03-09T20:45:48.152Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Clara"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"MS/PhD in Electrical Engineering, Computer Science, or Computer Engineering, 12+ years of experience in Systems level test, systems validation, and/or bench testing, Experience in new silicon bring up at the system level, Experience in driving SLT testing and deployment for HVM, Experience with testing and characterization of high power SOCs and High Speed I/Os, C#, C/C++, PERL, Python, .NET framework"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f8883394-0fc"},"title":"Solutions Architect, AI and ML","description":"<p>We are looking for an experienced Cloud Solution Architect to help assist customers with adoption of GPU hardware and Software, as well as building and deploying Machine Learning (ML) , Deep Learning (DL), data analytics solutions on various Cloud Computing Platforms.</p>\n<p>As a Solutions Architect, you will engage directly with developers, researchers, and data scientists with some of NVIDIA’s most strategic technology customers as well as work directly with business and engineering teams on product strategy.</p>\n<p><strong>Key Responsibilities:</strong></p>\n<ul>\n<li>Help cloud customers craft, deploy, and maintain scalable, GPU-accelerated inference pipelines on cloud ML services and Kubernetes for large language models (LLMs) and generative AI workloads.</li>\n<li>Enhance performance tuning using TensorRT/TensorRT-LLM, vLLM, Dynamo, and Triton Inference Server to improve GPU utilization and model efficiency.</li>\n<li>Collaborate with multi-functional teams (engineering, product) and offer technical mentorship to cloud customers implementing AI inference at scale.</li>\n<li>Build custom PoCs for solution that address customer’s critical business needs applying NVIDIA hardware and software technology</li>\n<li>Partner with Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities for NVIDIA products and solutions for ML/DL and other software solutions</li>\n<li>Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.</li>\n<li>Conduct regular technical customer meetings for project/product roadmap, feature discussions, and intro to new technologies. Establish close technical ties to the customer to facilitate rapid resolution of customer issues</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other Engineering fields or equivalent experience.</li>\n<li>3+ Years in Solutions Architecture with a proven track record of moving AI inference from POC to production in cloud computing environments including AWS, GCP, or Azure</li>\n<li>3+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow</li>\n<li>Excellent knowledge of the theory and practice of LLM and DL inference</li>\n<li>Strong fundamentals in programming, optimizations, and software design, especially in Python</li>\n<li>Experience with containerization and orchestration technologies like Docker and Kubernetes, monitoring, and observability solutions for AI deployments</li>\n<li>Knowledge of Inference technologies - NVIDIA NIM, TensorRT-LLM, Dynamo, Triton Inference Server, vLLM, etc</li>\n<li>Proficiency in problem-solving and debugging skills in GPU environments</li>\n<li>Excellent presentation, communication and collaboration skills</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>AWS, GCP or Azure Professional Solution Architect Certification.</li>\n<li>Experience optimizing and deploying large MoE LLMs at scale</li>\n<li>Active contributions to open-source AI inference projects (e.g., vLLM, TensorRT-LLM Dynamo, SGLang, Triton or similar)</li>\n<li>Experience with Multi-GPU Multi-node Inference technologies like Tensor Parallelism/Expert Parallelism, Disaggregated Serving, LWS, MPI, EFA/Infiniband, NVLink/PCIe, etc</li>\n<li>Experience in developing and integrating monitoring and alerting solutions using Prometheus, Grafana, and NVIDIA DCGM and GPU performance Analysis and tools like NVIDIA Nsight Systems</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f8883394-0fc","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://nvidia.wd5.myworkdayjobs.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-WA-Redmond/Solutions-Architect--AI-and-ML_JR2005988-1","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Cloud Solution Architecture","GPU hardware and Software","Machine Learning (ML)","Deep Learning (DL)","Data Analytics","Cloud Computing Platforms","Kubernetes","TensorRT","TensorRT-LLM","vLLM","Dynamo","Triton Inference Server","Python","Containerization","Orchestration","Monitoring","Observability","Inference technologies","NVIDIA NIM","Problem-solving","Debugging","GPU environments"],"x-skills-preferred":["AWS","GCP","Azure","Professional Solution Architect Certification","Large MoE LLMs","Open-source AI inference projects","Multi-GPU Multi-node Inference technologies","Monitoring and alerting solutions","Prometheus","Grafana","NVIDIA DCGM","GPU performance Analysis","NVIDIA Nsight Systems"],"datePosted":"2026-03-09T20:45:22.711Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond, CA, Santa Clara, Seattle"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Cloud Solution Architecture, GPU hardware and Software, Machine Learning (ML), Deep Learning (DL), Data Analytics, Cloud Computing Platforms, Kubernetes, TensorRT, TensorRT-LLM, vLLM, Dynamo, Triton Inference Server, Python, Containerization, Orchestration, Monitoring, Observability, Inference technologies, NVIDIA NIM, Problem-solving, Debugging, GPU environments, AWS, GCP, Azure, Professional Solution Architect Certification, Large MoE LLMs, Open-source AI inference projects, Multi-GPU Multi-node Inference technologies, Monitoring and alerting solutions, Prometheus, Grafana, NVIDIA DCGM, GPU performance Analysis, NVIDIA Nsight Systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_430d21a5-bce"},"title":"Senior System BIOS Firmware Developer, Client Product","description":"<p><strong>Senior System BIOS Firmware Developer, Client Product</strong></p>\n<p>Are you ready to change the next generation of computing? Join us at the forefront of technological advancement.</p>\n<p><strong>What you&#39;ll be doing:</strong></p>\n<p>As a Senior System BIOS Firmware Developer, you will be responsible for designing, implementing, and delivering innovations for client products with a focus on firmware development, client architecture, and building systems for laptop or small form factor products.</p>\n<p>You will work with a global team of BIOS developers on NVIDIA client product designs, designing and developing performance-optimised UEFI/BIOS solutions using industry standards.</p>\n<p>You will also be responsible for instrumenting code to ensure maximum code coverage, writing and automating unit tests for each implemented module, and maintaining detailed unit test case reports.</p>\n<p>Additionally, you will provide software quality reports based on static analysis, code coverage, and CPU load, and partner with the security team to ensure developed code is in line with product security goals.</p>\n<p>You will work closely with hardware teams to influence hardware design and review HW architecture &amp; schematics, and work with QA/Test architects to come up with proper test tools and automation for qualifying the whole system software and firmware stack.</p>\n<p><strong>What we need to see:</strong></p>\n<p>We are looking for a candidate with domain expertise in System BIOS (UEFI) Firmware development on X86 or ARM platforms, with strong experience with AMI/Insyde or EDK2 Firmware architecture.</p>\n<p>You should have solid experience of end-to-end delivery of laptop, small form factor desktop design from definition to customer deployment, and a solid understanding of low-level interfaces between SBIOS, EC (Embedded Controller), and OS like I2C/SPI/PCIe/JTAG etc.</p>\n<p>You should also have experience working closely with HW teams, ODMs, and vendors to introduce and support server platforms, and experience with C/C++ development, bash/python for scripting, and debugging skills in embedded Linux/Windows operating environments.</p>\n<p><strong>Ways to stand out from the crowd:</strong></p>\n<p>A proven record in delivering system BIOS design on servers, and experience working with AMI/Insyde BIOS solutions on x86 designs, will make you a strong candidate for this role.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_430d21a5-bce","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://nvidia.wd5.myworkdayjobs.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Taiwan-Taipei/Senior-System-BIOS-Firmware-Developer--Client-Product_JR2013134","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["System BIOS (UEFI) Firmware development","X86 or ARM platforms","AMI/Insyde or EDK2 Firmware architecture","C/C++ development","bash/python for scripting","debugging skills in embedded Linux/Windows operating environments"],"x-skills-preferred":[],"datePosted":"2026-03-09T20:45:15.677Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Taipei"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"System BIOS (UEFI) Firmware development, X86 or ARM platforms, AMI/Insyde or EDK2 Firmware architecture, C/C++ development, bash/python for scripting, debugging skills in embedded Linux/Windows operating environments"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7ed3166f-d28"},"title":"Senior Graphic Designer - Enterprise","description":"<p><strong>Senior Graphic Designer - Enterprise</strong></p>\n<p>We are looking for a talented Senior Graphic Designer to join our in-house creative studio. As a Senior Graphic Designer, you will be responsible for leading innovative design and campaign solutions across events, social media, video, animation, web, and presentations.</p>\n<p><strong>What You&#39;ll Be Doing:</strong></p>\n<ul>\n<li>Leading multiple high-level design and campaign projects from concept to launch</li>\n<li>Developing and implementing visual design systems that can be applied across a brand</li>\n<li>Collaborating with stakeholders to understand their needs and deliver effective design solutions</li>\n</ul>\n<p><strong>What We Need To See:</strong></p>\n<ul>\n<li>12+ years of experience as a senior or principle graphic design at a fast-moving B2B company</li>\n<li>Stellar, real-world examples of how you conceptualize and implement innovative experiences</li>\n<li>Proficient in Adobe Creative Cloud, Figma, and AI design platforms such as Weavy, Gemini, Runway, etc.</li>\n<li>Deep experience creating and maintaining visual design systems</li>\n</ul>\n<p><strong>Ways to Stand Out From the Crowd:</strong></p>\n<ul>\n<li>Passionate about technology, design, and the rapidly evolving AI landscape</li>\n<li>Experience in 3D, video editing, and/or motion graphics</li>\n<li>Designed lots of presentations alongside senior stakeholders under tight timelines</li>\n</ul>\n<p><strong>What We Offer:</strong></p>\n<ul>\n<li>Highly competitive salaries and a comprehensive benefits package</li>\n<li>Eligibility for equity and benefits</li>\n</ul>\n<p><strong>How to Apply:</strong></p>\n<p>Send us a resume and online portfolio or PDF with at least 5–10 design samples, including real-world graphic design projects from your time in-house at a technology company.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_7ed3166f-d28","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://nvidia.wd5.myworkdayjobs.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Enterprise-Senior-Graphic-Designer_JR2011906","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Adobe Creative Cloud","Figma","Weavy","Gemini","Runway","visual design systems"],"x-skills-preferred":["3D","video editing","motion graphics"],"datePosted":"2026-03-09T20:45:04.173Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Clara"}},"employmentType":"FULL_TIME","occupationalCategory":"Design","industry":"Technology","skills":"Adobe Creative Cloud, Figma, Weavy, Gemini, Runway, visual design systems, 3D, video editing, motion graphics"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cf4fd05b-818"},"title":"Senior Software Engineer, NCCL","description":"<p>We are looking for a highly motivated senior software engineer to join our communication libraries and network software team. The position will be part of a fast-paced crew that develops and maintains software for complex heterogeneous computing systems that power disruptive products in High Performance Computing and Deep Learning.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Design, implement and maintain highly-optimized communication runtimes for Deep Learning frameworks (e.g. NCCL for TensorFlow/Pytorch) and HPC programming interfaces (e.g. UCX for MPI/OpenSHMEM) on GPU clusters.</li>\n<li>Participate in and contribute to parallel programming interface specifications like MPI/OpenSHMEM.</li>\n<li>Design, implement and maintain system software that enables interactions among GPUs and interactions between GPUs and other system components.</li>\n<li>Create proof-of-concepts to evaluate and motivate extensions in programming models, new designs in runtimes and new features in hardware.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>M.S./Ph.D. degree in CS/CE or equivalent experience.</li>\n<li>5+ years of relevant experience.</li>\n<li>Excellent C/C++ programming and debugging skills.</li>\n<li>Strong experience with Linux.</li>\n<li>Expert understanding of computer system architecture and operating systems.</li>\n<li>Experience with parallel programming interfaces and communication runtimes.</li>\n<li>Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>Deep understanding of technology and passionate about what you do.</li>\n<li>Experience with CUDA programming and NVIDIA GPUs.</li>\n<li>Knowledge of high-performance networks like InfiniBand, iWARP etc.</li>\n<li>Experience with HPC applications.</li>\n<li>Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc.</li>\n<li>Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Highly competitive salaries.</li>\n<li>Comprehensive benefits package.</li>\n<li>Eligibility for equity.</li>\n<li>Opportunity to work with a world-class engineering team.</li>\n<li>Ability to work in a dynamic matrix environment.</li>\n<li>Opportunity to contribute to cutting-edge technology.</li>\n<li>Flexible work arrangements.</li>\n<li>Professional development opportunities.</li>\n</ul>\n<p><strong>How to Apply:</strong></p>\n<p>Applications for this job will be accepted at least until March 13, 2026. NVIDIA uses AI tools in its recruiting processes.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_cf4fd05b-818","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://nvidia.wd5.myworkdayjobs.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Software-Engineer--GPU-Communications-and-Networking_JR1997186","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["C/C++","Linux","Computer system architecture","Operating systems","Parallel programming interfaces","Communication runtimes"],"x-skills-preferred":["CUDA programming","NVIDIA GPUs","High-performance networks","HPC applications","Deep Learning Frameworks"],"datePosted":"2026-03-09T20:44:17.925Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Clara"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C/C++, Linux, Computer system architecture, Operating systems, Parallel programming interfaces, Communication runtimes, CUDA programming, NVIDIA GPUs, High-performance networks, HPC applications, Deep Learning Frameworks"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3d6cc692-919"},"title":"Senior System Integration and Validation Engineer","description":"<p>We are seeking a Senior System Integration &amp; Validation Engineer to join our Silicon Co-Design Group (SCG). As part of this team, you will be responsible for system level bringup, debug and validation of GPU and SoC. This is an exciting opportunity to work on the sophisticated nature of various chip features and to develop innovative solutions to complex debugging situations.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Silicon and board bring up, validation, and debug from prototype to production.</li>\n<li>Responsible for the GPU and SoC system qualification including feature checks, system stress at PVT conditions, testing of large number of systems and debug of issues affecting any unit of the chip or software.</li>\n<li>Debug complex ASIC and board issues related to logic design, signal integrity and power delivery in a high energy work environment, with a team that is the best in the business!</li>\n<li>Understand architecture of next generation chips, develop test plans, scripts and implement.</li>\n<li>Understand various HW features related to power, performance and safety.</li>\n<li>Drive the debug of Silicon, Board or Software issues involving many multi-functional teams.</li>\n<li>Develop new methodologies to improve the silicon validation process and take it to the next level!</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>BTech/BE or MTech/ME degree in Electronics with 4+ years of work experience.</li>\n<li>Good knowledge in board and system design considerations, experience in silicon design/bring up.</li>\n<li>Hardware design experience related to high-speed subsystem design, High-speed IO protocols, and on-chip interconnect would be much appreciated.</li>\n<li>An understanding of PC architecture and various commonly used buses.</li>\n<li>Familiarity with scripting languages like perl and/or python.</li>\n<li>Very good problem solving and debugging skills.</li>\n<li>Strong data analysis and logical reasoning skills.</li>\n<li>Must be a standout colleague and ready to work with global teams from diverse cultural backgrounds.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3d6cc692-919","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://nvidia.wd5.myworkdayjobs.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/India-Bengaluru/Senior-System-Integration-and-Validation-Engineer_JR2014010","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Silicon design/bring up","Board and system design considerations","High-speed subsystem design","High-speed IO protocols","On-chip interconnect","PC architecture","Scripting languages (perl and/or python)"],"x-skills-preferred":[],"datePosted":"2026-03-09T20:44:06.635Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Silicon design/bring up, Board and system design considerations, High-speed subsystem design, High-speed IO protocols, On-chip interconnect, PC architecture, Scripting languages (perl and/or python)"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2a2e8688-51a"},"title":"Technical Program Manager - Tegra and Product Diag","description":"<p><strong>Technical Program Manager - Tegra and Product Diag</strong></p>\n<p>We are seeking a Technical Program Manager to help define, track, and drive end-to-end solutions covering the entire silicon and product life cycle for Automotive and DataCenter platforms.</p>\n<p>For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU, we also set the stage for advances in robotics, computer vision, and artificial intelligence. Today NVIDIA is building a platform and solutions for Robotics, Autonomous Machines, and DataCenter making it a phenomenal time to join our company and this team.</p>\n<p><strong>What you’ll be doing:</strong></p>\n<ul>\n<li>Lead and track all aspects of planning and implementation for Tegra Diagnostic software, including coordinating the Tegra Diagnostic Plan of Recorder for Silicon and Platform bring-up through productization.</li>\n</ul>\n<ul>\n<li>Partner with multi-functional engineering leads to drive technical, logistical activities, handle complex project schedules, remove roadblocks, and ensure on-time delivery of hardware and system achievements.</li>\n</ul>\n<ul>\n<li>Ensure teams deliver all required collaterals for the SW Product Lifecycle process</li>\n</ul>\n<ul>\n<li>Act as the focal point for program execution by scheduling and leading status meetings and presenting progress, risks, and dependencies across global stakeholders</li>\n</ul>\n<ul>\n<li>Work Partner closely with product teams to define and prioritize platform and silicon bring-up requirements.</li>\n</ul>\n<p><strong>What we need to see:</strong></p>\n<ul>\n<li>Bachelors or master’s degree in computer/Electronics engineering or related field (or equivalent experience)</li>\n</ul>\n<ul>\n<li>4+ overall years of proven experience in both software project and program management or related roles</li>\n</ul>\n<ul>\n<li>Deep understanding of the SW development life cycle</li>\n</ul>\n<ul>\n<li>Ability to work effectively with multi-functional, globally distributed engineering teams</li>\n</ul>\n<ul>\n<li>Experience gathering and analyzing data to support management decision-making and risk assessment.</li>\n</ul>\n<p><strong>Ways to stand out from the crowd:</strong></p>\n<ul>\n<li>Proven track record in software development</li>\n</ul>\n<ul>\n<li>Experience with Pre-Silicon/Post-Silicon bring-up of SoC or Platform</li>\n</ul>\n<ul>\n<li>Understanding of silicon and platform validation and characterization process, SOC micro-architecture, platform architecture</li>\n</ul>\n<p>You will also be eligible for equity and benefits.</p>\n<p>Applications for this job will be accepted at least until March 13, 2026.</p>\n<p>This posting is for an existing vacancy.</p>\n<p>NVIDIA uses AI tools in its recruiting processes.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2a2e8688-51a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://nvidia.wd5.myworkdayjobs.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Technical-Program-Manager---Tegra-and-Product-Diag_JR2011752","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Software project management","Program management","SW development life cycle","Multi-functional engineering teams","Data analysis"],"x-skills-preferred":["Pre-Silicon/Post-Silicon bring-up of SoC or Platform","Silicon and platform validation and characterization process","SOC micro-architecture","Platform architecture"],"datePosted":"2026-03-09T20:44:01.546Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Clara"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software project management, Program management, SW development life cycle, Multi-functional engineering teams, Data analysis, Pre-Silicon/Post-Silicon bring-up of SoC or Platform, Silicon and platform validation and characterization process, SOC micro-architecture, Platform architecture"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f500c2e7-79c"},"title":"Senior Post Silicon Validation Engineer","description":"<p>We are seeking a Senior Post Silicon Validation Engineer to join our team. As a Senior Post Silicon Validation Engineer, you will be responsible for leading the design, automation, and validation of System Level Tests (SLT) for High Volume Manufacturing (HVM) for complex, high power, high speed System-on-Chip (SoC) designs.</p>\n<p>Your primary responsibilities will include developing and integrating test flows, scripts, and automation to ensure robust SLT coverage and seamless communication between test controllers and peripherals. You will also partner with system architecture, chip design, and validation teams to define and deliver production-ready SLT and HVM test solutions.</p>\n<p>In addition, you will drive custom SLT development to optimize system performance, power efficiency, and test coverage. You will oversee handler selection, enablement, and hardware integration, including PCB design, socket selection, and temperature control systems.</p>\n<p>You will also improve manufacturing test quality by enhancing test correlation, yield, and reliability across NPI, HVM, and RMA processes. You will collaborate closely with Original Design Manufacturers (ODMs) on production enablement, sustaining, yield analysis, and DPPM reduction initiatives.</p>\n<p>Finally, you will support silicon qualification and reliability testing (HTOL, Burn-in) at the system level.</p>\n<p>To be successful in this role, you will need to have a strong understanding of electrical engineering principles, including signal integrity, data handling, and reporting. You will also need to have experience with lab equipment and measurement techniques for high-speed interfaces using high-speed scopes, probes, spectrum analyzers, BERTs, etc.</p>\n<p>Additionally, you will need to have strong problem-solving skills, good communication skills, and the ability to work cooperatively in a team environment.</p>\n<p>If you are a motivated and experienced Senior Post Silicon Validation Engineer looking for a new challenge, please apply today!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f500c2e7-79c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://nvidia.wd5.myworkdayjobs.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Post-Silicon-Validation-Engineer_JR2013152","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["MS/PhD in Electrical Engineering, Computer Science, or Computer Engineering","12+ years of relevant industry experience","Experience in post-silicon electrical validation of high power, high speed, complex SoCs","Proven driver and leader of a full system validation from end to end (silicon out to production start) with attention to detail and a passion for root causing issues","Silicon validation experience, preferably in the area of SerDes, LSIO, Logic, and Memory","Experience in system marginality validation","Good understanding of lab equipment and measurement techniques for high-speed interfaces using high-speed scopes, probes, spectrum analyzers, BERTs, etc.","Strong understanding of Firmware and able to debug and create new test cases","Software proficiency in Python for test scripting, data handling, and reporting","Knowledge of board and package design, signal integrity, data handling, and reporting"],"x-skills-preferred":["Python","Firmware","Lab equipment","Measurement techniques","Signal integrity","Data handling","Reporting"],"datePosted":"2026-03-09T20:43:50.606Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Clara"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"MS/PhD in Electrical Engineering, Computer Science, or Computer Engineering, 12+ years of relevant industry experience, Experience in post-silicon electrical validation of high power, high speed, complex SoCs, Proven driver and leader of a full system validation from end to end (silicon out to production start) with attention to detail and a passion for root causing issues, Silicon validation experience, preferably in the area of SerDes, LSIO, Logic, and Memory, Experience in system marginality validation, Good understanding of lab equipment and measurement techniques for high-speed interfaces using high-speed scopes, probes, spectrum analyzers, BERTs, etc., Strong understanding of Firmware and able to debug and create new test cases, Software proficiency in Python for test scripting, data handling, and reporting, Knowledge of board and package design, signal integrity, data handling, and reporting, Python, Firmware, Lab equipment, Measurement techniques, Signal integrity, Data handling, Reporting"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_93964b93-680"},"title":"Senior System Software Engineer - AV Platform","description":"<p><strong>Senior System Software Engineer - AV Platform</strong></p>\n<p>We are seeking a hands-on Senior System Software Engineer to join our Autonomous Vehicles Platform team. As part of our team, you will work on our Autonomous Driving Platform software, implementing performant and scalable solutions for data collection and autonomous vehicle fleets.</p>\n<p>Our team is responsible for developing platform and middleware features for self-driving cars. This includes software that interacts with various sensors including Cameras, LIDAR, RADAR, GPS, IMU, Vehicle CAN etc. We are seeking candidates with interests in inventing, developing, and maintaining application framework and tools on multi-computer and heterogeneous architectures.</p>\n<p>The role encompasses working with various teams across the stack, from platform and embedded software to cloud infrastructure, underpinned by safety and performance. 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You will lead, encourage, and develop world-class engineering and data teams distributed across Europe, Asia and the United States.</p>\n<p><strong>Key Responsibilities:</strong></p>\n<ul>\n<li>Architect and operationalize NVIDIA’s end-to-end data Inference Acceleration strategy, powering Inferencing and continuous performance improvements.</li>\n<li>Drive Strategic Implementations of TensorRT, VLLM and other accelerated frameworks for inference solutions for Edge and Enterprise devices: Lead Accelerated Computing efforts and solutions for key Metropolis verticals. Set up Proofs of Readiness (PORs) and guide their implementations.</li>\n<li>Leading customer solutions: Collaborate with major Metropolis OEMs and Partners to architect highly accelerated and optimized custom deep learning models and inference pipelines for their specific requirements. Offer direct customer support, including debugging, technical education, and handling customer inquiries for our Metropolis partner and customers. Responsible for drafting and finalizing SOWs with internal customers and partners.</li>\n<li>Performance Benchmarking: Orchestrate efforts to achieve leading performance results on industry benchmarks like MLPerf on various edge and Enterprise devices.</li>\n<li>Technical Leadership &amp; Influence: Function as a technical leader for deep learning across multiple teams, giving oversight and build support. 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Your expertise in power electronics and control theory will be crucial in architecting power delivery systems for data center and super compute platforms, including multiphase VRMs and Intermediate Bus Converters (IBCs). 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