Senior Compiler Engineer, Agentic Compiler Systems

🔥 0 minutes ago

🏄 California, Oregon, +2 more states – Remote

🏄 California – Remote 🌲 Oregon – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $152k - $241.5k / year

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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

• 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

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