Senior Compiler Engineer, Agentic Compiler Systems

NVIDIA

. Design, build, and optimize intelligent low-level compiler systems, including compiler-oriented agents, multi-step transformation workflows, tool use, memory, and orchestration .

Posted 11/2/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in compiler design and optimization, with strong capabilities in C/C++ and Python programming. Proficient in GPU programming, numerical validation, and performance analysis across complex systems.

Highest-signal resume keywords

Compiler ImplementationPerformance OptimizationGPU ProgrammingNumerical AnalysisProgram Verification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C/C++ ProgrammingPython ProgrammingCompiler DesignCode GenerationOptimizationNumerical ComputingHigh-Performance ComputingDifferential TestingFormal Validation MethodsSoftware Engineering Fundamentals

Tools & Technologies

CUDALLVMMLIRPTXTriton

Industry Keywords

Compiler SystemsAI SystemsVerificationPerformance TradeoffsCorrectness Infrastructure

Tech Stack

Tools & technologies

PythonRustC++

About the role

Key responsibilities & impact

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 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 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 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, focusing on correctness, scalability, and real-world deployment

Requirements

What you’ll need

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 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
Solid software engineering fundamentals
Experience with GPU programming and performance optimization using CUDA or comparable accelerator platforms
Ability to work across system boundaries, from model-driven workflows and compiler infrastructure to runtime and hardware-aware optimization
Rust experience is a plus
Experience with LLVM, MLIR, PTX, Triton, or other IR/codegen frameworks is advantageous
Publications or open-source leadership are advantageous

Benefits

Comp & perks

Highly competitive salaries
Comprehensive benefits package
Equity
Benefits