NVIDIA
computing and graphics products
SystemSoftwareEngineer-GPU
Neural analysis suggests this role is
optimal for Senior candidates.
“System Software Engineer - GPU at NVIDIA. Skills: C++ programming, GPU concepts and algorithms, systems software, OS fundamentals, hardware architecture. build low level GPU testing frameworks to validate GPUs early in the life cycle. use knowledge of operating systems, algorithms, and computer architecture to provide robust and efficient solutions to validate and test next generation processors”
What You'll Achieve.
provide robust and efficient solutions to validate and test next generation processors; improve test coverage, failure triage, log analysis, and overall validation efficiency; improve developer velocity and reliability
Industry & Context.
Very problem solving and debugging skills
What They're Looking For.
Must Have
C++ programming skills, thorough knowledge of GPU concepts and algorithms, solid foundation of systems software with emphasis on OS fundamentals, deep understanding of current generation hardware architecture, Excellent interpersonal skills, dedication to meticulous engineering practices, knowledge of operating systems, knowledge of algorithms, knowledge of computer architecture, BS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science (or equivalent experience), 5+ years proven experience in a related hardware/software position, C/C++ programming skills, Understanding of PC architecture, ability to work close to the hardware, Experience utilizing AI tools to improve velocity while delivering the highest quality results, Familiarity with modern AI-assisted software development workflows (e. g. , AI-based code generation, test generation, debugging, or analysis)
Nice to Have
Background with Parallel Computing, PCIE, Nvlink or server product technologies like Infiniband, Ethernet is a plus, Previous experience of working on a large system software code base is preferable
What You'll Do.
build low level GPU testing frameworks to validate GPUs early in the life cycle
use knowledge of operating systems
and computer architecture to provide robust and efficient solutions to validate and test next generation processors
Working closely with architecture
hardware and driver teams through the product development life cycle of computing and graphics processors
as well as compute products
Responsible for crafting software tools and infrastructure required for new chip development
Architect and develop foundational capabilities required for Data Center and Consumer GPU diagnostics
assess new hardware features and architect manufacturing diagnostic tests using pre-beta CUDA and Vulkan extensions
Explore ways to use high level compute & graphics programming APIs to stress specific units and flows at a GPU and system level
Leverage AI-assisted development tools to accelerate test creation
and analysis while maintaining high code quality
Apply AI/ML techniques to improve test coverage
and overall validation efficiency
Collaborate with the team to identify opportunities for agent-based or automated workflows that improve developer velocity and reliability
How You'll Work.
Team & Collaboration
Working closely with architecture, hardware and driver teams; Collaborate with the team
Full Job Description
We are seeking a System Software Engineer to work on next-generation computing and graphics products. Our charter is to build low level GPU testing frameworks to validate GPUs early in the life cycle. The best candidates will have strong C++ programming skills, thorough knowledge of GPU concepts and algorithms, a solid foundation of systems software with emphasis on OS fundamentals, and a deep understanding of current generation hardware architecture. Excellent interpersonal skills and a dedication to meticulous engineering practices are a requirement. As a system software engineer, you will use your knowledge of operating systems, algorithms, and computer architecture to provide robust and efficient solutions to validate and test next generation processors. **What you 'll be doing:** * Working closely with architecture, hardware and driver teams through the product development life cycle of computing and graphics processors, as well as compute products. * Responsible for crafting software tools and infrastructure required for new chip development, validation, and productization. * Architect and develop foundational capabilities required for Data Center and Consumer GPU diagnostics. * You will assess new hardware features and architect manufacturing diagnostic tests using pre-beta CUDA and Vulkan extensions. This job will require an understanding of our hardware and software architectures. * Explore ways to use high level compute & graphics programming APIs to stress specific units and flows at a GPU and system level. * Leverage AI-assisted development tools to accelerate test creation, debugging, and analysis while maintaining high code quality. * Apply AI/ML techniques to improve test coverage, failure triage, log analysis, and overall validation efficiency. * Collaborate with the team to identify opportunities for agent-based or automated workflows that improve developer velocity and reliability. **What we need to see:** * BS or MS degree in one of the areas of E
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