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About the Role
We are building the next generation of compiler technologies to accelerate deep learning workloads. We are looking for an engineer to implement compiler verification software & related infrastructure in the AI space. You will be solving critical problems working alongside a diverse set of minds in GPU computing and systems software, doing what you enjoy.
Responsibilities
- Develop and maintain components of systems to reason about correctness in deep learning compilers, across graph transformations, IR lowering, and GPU execution.
- Work with deep learning compiler and architecture teams to analyze and validate optimizations, ensuring they preserve semantics and numerical behavior.
- Implement and extend test generation systems that use deep learning solutions and analysis methods to drive in-depth testing.
- Contribute to improving how we measure functional quality and performance as models, compiler stacks, and hardware continue to evolve.
Requirements
- BS, MS or PhD in Computer Science, Computer Engineering, Mathematics, or equivalent experience.
- 2+ years of hands-on software engineering experience, with experience in compiler development, deep learning systems, or compiler verification.
- Proficiency in Python or C++ and experience with one major DL framework.
- Strong problem-solving and debugging skills — ability to reason about model behavior and compiler-generated code, investigate correctness issues, and collaborate with teammates to resolve edge-case failures.
Skills
- Compiler development
- Deep learning systems
- Compiler verification
- Python
- C++
- PyTorch
- JAX/XLA
- TensorRT
- Model execution
- Graph representation
- Runtime behavior
- LLVM
- MLIR
- TVM
- XLA
- Compiler passes
- IR semantics
- Correctness testing
- Formal methods
- Language specification
- Type systems
- Program semantics
- Proof-based verification
- DL model internals
- Quantization
- Operator fusion
- Mixed-precision
- Graph-level optimization
Experience Level
- 2+ years of hands-on software engineering experience
Education Level
- BS, MS or PhD in Computer Science, Computer Engineering, Mathematics, or equivalent experience.
Salary/Compensations
- 116,000 USD – 189,750 USD
Benefits
- Equity
- Benefits
About the Company
- NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years.
- 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.
Equal Opportunity
- 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.