Senior Compiler Engineer, Agentic Compiler Systems

This is a fully remote position, open to applicants in California, +3 more states.

📋 Description

• Design, develop, and enhance intelligent low-level compiler systems, which include compiler-oriented agents, multi-step transformation workflows, tool usage, memory management, and orchestration.

• Create systems that analyze low-level intermediate representation (IR), code generation, optimization passes, scheduling, numerical precision, and performance trade-offs for GPU-centric workloads.

• Construct data, environments, verification, reward, and evaluation systems aimed at consistently improving compiler quality, numerical accuracy, robustness, and performance.

• Establish infrastructure for numerical validation, differential testing, regression detection, and correctness verification for generated or modified code.

• Collaborate on the design of compiler and verification workflows across NVIDIA's software ecosystem, encompassing models and inference, compiler pipelines, runtimes, libraries, kernels, and GPUs.

• Work together with internal compiler, CUDA, library, runtime, and hardware teams to integrate new functionalities into NVIDIA products.

• Lead performance analysis and optimization efforts for generated or modified code, with a focus on correctness, scalability, and real-world deployment.

⛳️ Requirements

• A Bachelor's degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related field, or equivalent experience; an MS or PhD is preferred.

• Over 5 years of relevant experience in industry or academia in compilers, AI systems, numerical computing, verification, high-performance computing, or related disciplines.

• Extensive hands-on experience in 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.

• Proficient in C/C++ and Python programming languages.

• Strong foundation in software engineering principles.

• Experience with GPU programming and performance optimization using CUDA or similar accelerator platforms.

• Capability to work across system boundaries, from model-driven workflows and compiler infrastructure to runtime and hardware-aware optimization.

• Experience with Rust is a plus.

• Familiarity with LLVM, MLIR, PTX, Triton, or other IR/code generation frameworks is advantageous.

• Publications or leadership in open-source projects are a plus.

🏝️ Benefits

• Highly competitive salaries.

• Comprehensive benefits package.

• Equity opportunities.

• Additional benefits.