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 9/18/2026full-timeRemote • California • United StatesSenior💰 $152,000 - $241,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in compiler implementation, optimization, and verification, with strong programming skills in C/C++ and Python. Proficient in GPU programming and performance analysis, with a focus on numerical correctness and high-performance computing.

Highest-signal resume keywords

Compiler ImplementationPerformance OptimizationGPU ProgrammingNumerical ValidationCode Generation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C/C++ ProgrammingPython ProgrammingCompiler ImplementationCode GenerationOptimizationNumerical AnalysisProgram VerificationDifferential TestingLow-Level Performance EngineeringAI-Assisted Compilation

Tools & Technologies

CUDALLVMMLIRPTXTriton

Industry Keywords

High-Performance ComputingCompiler AutomationCorrectness InfrastructureVerification FrameworksNumerical Computing

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 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, with solid software engineering fundamentals; Rust is a plus
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
Track record of building compiler infrastructure, coding agents, verification frameworks, correctness tooling, or developer tools
Expertise in low-level compiler stacks such as LLVM, MLIR, PTX, Triton, or other IR/codegen frameworks
Experience with AI-assisted compilation, numerical validation systems, equivalence checking, autotuning, or compiler verification workflows
Expertise in GPU systems, numerical behavior, and performance optimization
Publications or open-source leadership in relevant technical fields

Benefits

Comp & perks

Highly competitive salaries
Comprehensive benefits package
Equity
Equal opportunity and inclusive work environment