below marketmost similar roles pay hereabove market
This role pays less than
51%
of similar roles. Most pay
$177,087–$235,750
— the blue band above.
At the midpoint, this role pays about
$197k
versus about
$206k
for comparable roles.
Based on 240 similar postings.
Employer
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
Nvidia currently has
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
The Senior Compiler Engineer joins the team developing intelligent compiler technologies for the accelerated computing stack. This role focuses on building compiler systems that reason about, generate, optimize, and validate code transformations across software and hardware boundaries. You will design and build advanced compiler-oriented agents, multi-step transformation workflows, and numerical validation infrastructure to improve developer productivity and system performance. Key responsibilities include developing systems for low-level IR, code generation, and optimization passes while building data, reward, and evaluation systems for compiler quality. Required skills include C/C++, Python, and experience with GPU programming using CUDA. You will work with LLVM, MLIR, PTX, and Triton to solve problems in numerical correctness, differential testing, and performance optimization for GPU-centric workloads across models, inference, and hardware-aware optimizations.
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, and reward systems to improve compiler quality and numerical correctness.
Develop infrastructure for numerical validation, differential testing, and regression detection for generated code.
Co-design compiler and verification workflows across models, inference, runtimes, libraries, and GPUs.
Integrate agentic and verification capabilities into production compiler tools and products.
Drive performance analysis and optimization for transformed code with a focus on scalability and deployment.
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.
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