Manager, Linux GPU System Software Engineering
Summary
Engineering management role at NVIDIA leading a team that designs, develops, optimizes, and validates Linux GPU device drivers, collaborating across internal and external partners to define product roadmaps for accelerated computing platforms.
About the role
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. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people on the planet working for us.
Would you like to contribute to pioneering Linux device driver software used in our GPUs? If you're creative and autonomous, we would love to hear from you!
What you’ll be doing:
Lead a team which designs, develops, optimizes and validates features and/or bug fixes for our Linux GPU Device drivers collaborating with fellow software engineers.
Interact with internal and external partners to understand their use cases and requirements.
Collaborate with engineering teams, program and product management, and partners to define the product roadmap.
Continuously review and identify improvement opportunities in established processes, infrastructure, and practices to ensure the teams are executing in the most efficient and transparent manner.
What we need to see:
BS or MS degree or equivalent experience in Computer Engineering, Computer Science, or related degree.
Experience with Linux kernel / user mode device driver system software
8+ overall years industry experience and 3+ years of meaningful software engineering management experience leading large complex system software projects keeping functionality, security, performance and stability in mind.
Strong understanding of computer system architecture, operating systems principles (aka systems software fundamentals), HW-SW interactions and performance analysis/optimizations.
Excellent C/C++ programming and debugging skills in Linux.
Experience balancing multiple projects with competing priorities.
Flexibility to work and communicate effectively across different teams and time zones.
Background and strength with complex system-level software debugging across functionality, performance, security, scalability issues
Ways to stand out from the crowd:
Linux core/display kernel and user mode device driver experience
Linux graphics experience with Vulkan/OpenGL etc. software stacks
Open source contributions to the Linux kernel and/or other large software projects
Proven experience working breadth-first in the design and development of large, cross-functional systems software
Deep technical knowledge of system software, kernels, embedded systems
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.What you'll do
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NVIDIA is the world's leading designer of GPUs and AI computing platforms. Its chips power everything from gaming and data centers to autonomous vehicles and scientific research. With a market cap exceeding $2 trillion, NVIDIA's CUDA platform and AI accelerators have become the backbone of the global AI revolution.