1 day ago
Base Salary
$152k - $242k/yr
Responsibilities
- Design, build, and optimize intelligent low-level compiler systems, including compiler agents, multi-step transformation workflows, tool use, memory, and orchestration.
- Develop systems for reasoning about low-level IR, code generation, optimization passes, scheduling, numerical precision, and GPU-centric 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.
- Analyze and optimize generated or transformed code for correctness, scalability, performance, and deployment.
Requirements
- Bachelor’s degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related field, or equivalent experience; a master’s degree or PhD is preferred.
- At least 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, runtimes, and hardware-aware optimization.
- High-impact compiler infrastructure, coding-agent, verification-framework, correctness-tooling, or developer-tool experience is preferred.
- Expertise with LLVM, MLIR, PTX, Triton, or other IR/code-generation frameworks is preferred.
- Experience with AI-assisted compilation, numerical validation, equivalence checking, autotuning, or compiler-verification workflows is preferred.
- Deep GPU systems, numerical behavior, and performance-optimization expertise, demonstrated through benchmarks, deployed systems, publications, or widely used software, is preferred.
- Publications or open-source leadership in compilers, numerical computing, verification, formal methods, agentic AI, high-performance computing, AI systems, or programming systems is preferred.
Benefits
- Comprehensive benefits package.
- Eligibility for equity and benefits.
- Applications are accepted at least until October 23, 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.