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About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
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The Senior Compiler Engineer joins the Agentic Compiler Systems team to build next-generation intelligent compiler technologies for the accelerated computing stack. You will design and optimize low-level compiler systems, including compiler-oriented agents, multi-step transformation workflows, and numerical validation infrastructure. Your daily work involves developing systems that reason about low-level IR, code generation, optimization passes, and performance tradeoffs across GPU-centric workloads. You will build data, reward, and evaluation systems to improve compiler quality and numerical correctness. Key technologies include C/C++, Python, and potentially Rust, with a focus on CUDA and accelerator platforms. You will utilize expertise in LLVM, MLIR, PTX, and Triton to solve problems involving compiler automation, program verification, and differential testing across models, inference, runtimes, libraries, kernels, and GPUs.
Design and optimize low-level compiler systems including compiler-oriented agents and multi-step transformation workflows.
Develop systems to reason about low-level IR, code generation, optimization passes, and numerical precision.
Build data, environments, reward, and evaluation systems to improve compiler quality and robustness.
Develop infrastructure for numerical validation, differential testing, and regression detection for transformed code.
Co-design compiler and verification workflows across models, inference, runtimes, libraries, and GPUs.
Integrate agentic and verification capabilities into production compiler tools and hardware products.
Drive performance analysis and optimization for generated code with a focus on scalability and correctness.
What we're looking for
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; experience with Rust is a plus (preferred).
Experience with GPU programming and performance optimization using CUDA or comparable accelerator platforms.
Deep expertise in low-level compiler stacks such as LLVM, MLIR, PTX, Triton, or other IR/codegen frameworks (preferred).
LLVM
MLIR
CUDA
Python
C++
Rust
Triton
PTX
High-Performance Computing
Numerical Analysis
Program Verification
Differential Testing
Agentic Systems
Code Generation
Optimization Passes
IR
GPU Programming