NVIDIA is now looking for a Senior Compiler Engineer to join our Programmable Vision Accelerator (PVA) Tools Team!
Are you ready to push the boundaries of what’s possible? NVIDIA has revolutionized parallel computing, and the development of the CUDA programming model has fueled its power. NVIDIA developed a powerful computing platform (PVA) focused on vision and deep learning applications. PVA is being used in many of the largest autonomous vehicle and robotics projects in the world. Join us in solving real-world problems with innovative and groundbreaking compiler development!
What you'll be doing:
Crafting and implementing new features for the PVA platform and SDK.
Collaborating with application teams to address interesting and relevant compilation challenges.
Working closely with team members on projects related to compiler development.
Bringing to bear existing technologies and other available resources in the compiler development process.
Driving the future of Python, CUDA, and other domain specific languages.
What we need to see:
Bachelor’s Degree in Computer Science, ECE, or related field (Ph.D. or Master’s preferred) or equivalent experience.
8+ years of experience developing production-quality compilers and tools.
Deep understanding of compiler internals, front-ends, and optimizers.
Strong programming fundamentals, especially in C/C++ and Python, with knowledge of parallel computer architectures and optimizations.
Ways to stand out from the crowd:
Experience with LLVM and MLIR.
Familiarity with C++, CUDA.
Knowledge and experience with DL networks.
Passion for compiler development and a motivation to work on groundbreaking technologies!
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We invite you to join our team with experienced individuals from around the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.
#LI-Hybrid
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 an inclusive 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.NVIDIA Santa Clara, California, USA Office
2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara
NVIDIA San Francisco, California, USA Office
San Francisco, United States
NVIDIA San Jose, California, USA Office
San Jose, United States
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



