1 day ago
Base Salary
$152k - $242k/yr
Responsibilities
- Design, build, and optimize intelligent low-level compiler systems, including compiler-oriented agents, transformation workflows, tool use, memory, and orchestration.
- Develop systems for low-level intermediate representations, code generation, optimization passes, scheduling, numerical precision, and GPU performance tradeoffs.
- Build data, environment, verification, reward, and evaluation systems to improve compiler quality, correctness, robustness, and performance.
- Develop numerical validation, differential testing, regression-detection, and correctness-verification infrastructure for generated or transformed code.
- Co-design compiler and verification workflows across models, inference, compiler pipelines, runtimes, libraries, kernels, and GPUs.
- Collaborate with compiler, CUDA, library, runtime, and hardware teams to integrate capabilities into NVIDIA products.
- Drive performance analysis and optimization for generated or transformed code with a focus on correctness, scalability, and deployment.
Requirements
- Bachelor’s degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related field, or equivalent experience; an MS or PhD is preferred.
- 5+ years of relevant industry or academic experience in compilers, AI systems, numerical computing, verification, high-performance computing, or related areas.
- Hands-on experience with compiler implementation, program analysis, code generation, optimization, low-level performance engineering, or correctness infrastructure.
- Experience with agent systems, coding agents, compiler automation, numerical analysis, program verification, differential testing, or formal/semi-formal validation methods.
- Strong C/C++ and Python programming skills and solid software engineering fundamentals; Rust experience is a plus.
- Experience with GPU programming and performance optimization using CUDA or comparable accelerator platforms.
- Ability to work across model-driven workflows, compiler infrastructure, runtime systems, and hardware-aware optimization.
- Preferred experience includes LLVM, MLIR, PTX, Triton, AI-assisted compilation, equivalence checking, autotuning, compiler verification, GPU systems, numerical behavior, publications, or open-source leadership.
Benefits
- Highly competitive base salary of 152,000 USD - 241,500 USD, plus equity and benefits.
- Applications will be accepted at least until September 21, 2026; the posting is for an existing vacancy.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.