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.
At NVIDIA, we’re motivated by the continuous pursuit of innovation and excellence. As a Senior System Software Engineer, you’ll become a part of a premier team that’s advancing technology in AI, distributed computing. Situated in Santa Clara, CA, you’ll be at the core of our ambitious projects, reshaping the future of computing. If you’re enthusiastic about groundbreaking technology and ready to make a meaningful impact, this is the role for you!
What you'll be doing:
Working directly with customers on Drive platform solutions for Autonomous Vehicle products
Collaborating with a team of outstanding engineers to craft and implement system software that powers NVIDIA’s innovative products.
Developing and optimizing software for various platforms, cloud-based distributed computing, ensuring a flawless performance.
Engaging closely with multi-functional teams to integrate advanced features and drive projects to successful completion.
Applying your expertise in developing software through Python as well as C++ to build robust and efficient code.
Use and build AI tools to improve system capabilities and achieve groundbreaking results.
What we need to see:
BS (or equivalent experience) in Computer Science, Electrical Engineering, or a related field with at least 5 years of experience; MS preferred
2-4 years of hands-on experience in system software development.
Solid understanding of software engineering concepts, CS fundamentals and software development workflows.
Good understanding of AI data processing frameworks such as TensorFlow and PyTorch
Experience in building containers and automating the continuous integration and deployment workflows.
Experience with using AI tools for development workflows.
A consistent record of working collaboratively in a team environment and delivering outstanding results.
Proficiency in coding with Python and C++.
Working knowledge of building and deploying Software Development Kits is a bonus.
Ways to stand out from the crowd:
You'll be a fun and motivated teammate who enjoys a challenge and celebrates success.
Working experience with Agentic AI tools for computing infrastructure management.
Expertise in problem-solving and complexity analysis of distributed systems.
Excellent written and verbal interpersonal skills.
Previous experience with building sophisticated tooling and SRE automation on the large GPU/CPU clusters.
Widely considered to be one of the technology world’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
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 218,500 USD.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.”
