Senior Systems Software Engineer - GPU Diagnostics

Details

At NVIDIA, 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.

We are searching for outstanding senior system software engineer to join the NVIDIA's GPU Diagnostics SW team. Our charter is to develop the most demanding applications a GPU or high-performance computing server will encounter in its lifecycle, working closely with kernel driver team, GPU architecture team, system design team, and manufacturing organizations. The best candidates will have strong C++ programming skills, detailed knowledge of device programming, algorithms, a solid foundation of systems software with emphasis on OS fundamentals, and a deep understanding of current generation hardware architecture at systems level.

What You’ll Be Doing

• Design, implement, unit test and debug changes in the NVIDIA SW stack to take next-gen HW from design / development stage to production.
• Be heavily involved in emulation, bring-up, and product hardening required to build our groundbreaking products
• You will follow the devices all the way from manufacturing through the development process to datacenter systems, customer desktops, notebooks and workstations.
• Tackle a variety of problems that directly impact NVIDIA’s end users and partner OEMs.
• This job will require a deep understanding of our hardware and software architectures.

What We Need to See

• BS or MS degree in Computer Engineering, Computer Science, or related degree, or equivalent experience.
• Excellent programming skills and proficiency in C/C++ language, libraries, and toolchains.
• 5+ years hands-on experience developing low level systems software, preferably using Linux OS.
• Strong software engineering skills combined with a drive to solve hard problems are a must.
• Familiarity with computer system architecture, microprocessor and fundamentals (caches, buses, memory controllers, DMA, etc.)
• Previous experience of working on a large system software code base is preferable.
• Good written and verbal communication skills, along with strong collaborative and networking abilities.
• Proven ability to thrive in high-pressure, fast-paced development environments, especially during critical project phases.
• Ability to self-manage, show leadership, and have good interpersonal skills
• Demonstrated proficiency using modern AI productivity tools to streamline day-to-day work, improve quality, and automate routine tasks.

NVIDIA offers highly competitive salaries and a comprehensive benefits package.