Senior Compiler Engineer, Agentic Compiler Systems

NVIDIA Corporation; Santa Clara (CA); On-site; USD 152,000 - 242,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a Senior Compiler Engineer to advance intelligent compiler technologies for its accelerated computing stack. You will design and build compiler-oriented agents, verification and numerical validation infrastructure, and collaborate across compiler, CUDA, library, runtime, and hardware teams.

You will tackle low-level IR, code generation, optimization passes, and performance tradeoffs for GPU-centric workloads, ensuring correctness, robustness, and scalable deployment

Qualifications

• 5+ years of industry or academic experience in compilers, AI systems, numerical computing, verification, HPC, or related areas.
• Strong hands-on experience in compiler implementation, program analysis, code generation, optimization, low-level performance engineering, or correctness infrastructure.
• Experience in 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, with Rust a plus.
• Experience with GPU programming and performance optimization using CUDA or comparable accelerator platforms.

Responsibilities

• Design, build, and optimize intelligent low-level compiler systems, including compiler-oriented agents and multi-step transformation workflows.
• Develop systems that can reason about low-level IR, code generation, optimization passes, scheduling, numerical precision, and performance tradeoffs across GPU-centric workloads.
• Build data, environments, verification, reward, and evaluation systems to improve compiler quality, numerical correctness, robustness, and performance.
• Develop infrastructure for numerical validation, differential testing, regression detection, and correctness verification for generated or transformed code.
• Co-design compiler and verification workflows across NVIDIA's software stack, spanning models, inference, pipelines, runtimes, libraries, kernels, and GPUs.
• Collaborate with internal compiler, CUDA, library, runtime, and hardware teams to integrate new capabilities into NVIDIA products.
• Drive performance analysis and optimization for generated or transformed code with focus on correctness and scalability.

Skills

C/C++ programming

Python programming

CUDA

GPU programming

Compiler design

Verification

AI systems

Numerical computing

Cross-functional collaboration

Education

Bachelor's degree in CS/EE/Math

MS or PhD preferred

Tools

LLVM/MLIR

PTX

Triton

CUDA toolkit

Job description

We are looking for an outstanding Senior Compiler Engineer to help build the next generation of intelligent compiler technologies for NVIDIA's accelerated computing stack. Our team works at the intersection of compilers, agentic systems, numerical correctness, and verification to create compiler systems that can reason about, generate, optimize, and validate code transformations across software and hardware boundaries. In this role, you will help design and build advanced compiler and verification systems that improve developer productivity, system performance, and confidence in correctness. This includes developing compiler-oriented agents and workflows, building numerical validation and verification infrastructure, and co-designing with NVIDIA's compiler, runtime, library, and hardware teams to bring new capabilities into production tools and products.

What you'll be doing:

• Design, build, and optimize intelligent low-level compiler systems, including compiler-oriented agents, multi-step transformation workflows, tool use, memory, and orchestration.
• Develop systems that can reason about low-level IR, code generation, optimization passes, scheduling, numerical precision, and performance tradeoffs across GPU-centric workloads.
• Build the data, environments, verification, reward, and evaluation systems needed to continuously improve compiler quality, numerical correctness, robustness, and performance.
• Develop infrastructure for numerical validation, differential testing, regression detection, and correctness verification for generated or transformed code.
• Co-design compiler and verification workflows across NVIDIA's software stack, spanning models and inference, compiler pipelines, runtimes, libraries, kernels, and GPUs.
• Collaborate closely with internal compiler, CUDA, library, runtime, and hardware teams to integrate new compiler, agentic, and verification capabilities into NVIDIA products.
• Drive performance analysis and optimization for generated or transformed code, with a strong focus on correctness, scalability, and real-world deployment.

What we need to see:

Bachelor's degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related field, or equivalent experience; MS or PhD preferred. 5+ years of relevant industry or academic experience in compilers, AI systems, numerical computing, verification, high-performance computing, or related areas. Strong hands-on experience in compiler implementation, program analysis, code generation, optimization, low-level performance engineering, or correctness infrastructure. Experience in one or more of the following areas: 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, with solid software engineering fundamentals; experience with Rust is a plus. Experience with GPU programming and performance optimization using CUDA or comparable accelerator platforms. Ability to work effectively across system boundaries, from model-driven workflows and compiler infrastructure to runtime and hardware-aware optimization.

Ways to stand out from the crowd:

• Track record of building high-impact compiler infrastructure, coding agents, verification frameworks, correctness tooling, or developer tools.
• Deep expertise in low-level compiler stacks such as LLVM, MLIR, PTX, Triton, or other IR/codegen frameworks.
• Experience building or optimizing AI-assisted compilation, numerical validation systems, equivalence checking, autotuning, or compiler verification workflows.
• Deep expertise in GPU systems, numerical behavior, and performance optimization, demonstrated through benchmark results, deployed systems, publications, or widely used software.
• Publications or open-source leadership in compilers, numerical computing, verification, formal methods, agentic AI, high-performance computing, AI systems, or programming systems.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. 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 - 241,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 23, 2026. 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 pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.