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.
Are you a hard-working GPU programmer? Do you want to help craft the architecture of future GPUs? A key part of NVIDIA's strength is our sophisticated software platforms and simulation environments that enable our incredible pace of delivering new technology to market. We are looking for ground-breaking, hardworking, and creative people to join a dynamic software team with high production-quality standards. Our work includes developing chip simulations in SW, chip test authoring languages and tools, and driving performance improvement. NVIDIA is continuously pushing the state of the art in chip development tools and infrastructure to enable the next generation of chips. In this position, you will develop the core infrastructure for modeling, analyzing, and debugging the development of large-scale, general-purpose graphics and computing chips. This infrastructure enables our driver stack, applications, tests, and studies to run unchanged on all functional, diagnostic, and performance models, and on simulations, emulations, and silicon for all our GPUs.
What you'll be doing:
As a member of the team, you will play a critical part in every stage of development of a GPU
Thrive at the interface between software drivers and the GPU simulation
You will become the specialist for running SW applications directly on simulated GPUs in diverse environments
Capture instrumentation requirements from GPU architects who research next-gen improvements
You will coordinate with GPU architects to enable functional and performance testing for the next architecture
Work closely with SW teams to help them deliver production-ready drivers when silicon goes to market.
In this role, you will improve the daily workflows of leading chip modelers and designers around the globe to help produce the next greatest generation of GPUs.
What we need to see:
Bachelor's or Master's in Computer Science or Computer Engineering or equivalent experience
2+ years of relevant software development work experience
You understand the software driver stack, either in compute (CUDA) or graphics (DX, OpenGL, or Vulkan)
Ability to work across the GPU and driver stacks
Strong C++ programming capability are required
Knowledge of object-oriented design patterns are required
Excellent interpersonal skills
Flexibility/adaptability for working in a dynamic environment with different frameworks and requirements
Ways to stand out from the crowd:
Experience with chip and/or system simulation
Strong Python scripting skills
Experience with farm compute tools/techniques like virtual machines, containers, distributed programming
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
