below marketmost similar roles pay hereabove market
This role pays less than
52%
of similar roles. Most pay
$169,337–$235,750
— the blue band above.
At the midpoint, this role pays about
$197k
versus about
$203k
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
1792 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1179 roles with salary data.
The Senior Compiler Engineer joins the team building next-generation intelligent compiler technologies for the accelerated computing stack. This role focuses on creating compiler systems that reason about, generate, optimize, and validate code transformations across software and hardware boundaries. You will design and build intelligent low-level compiler systems, including compiler-oriented agents, multi-step transformation workflows, and numerical validation infrastructure. Key responsibilities include developing systems for code generation, optimization passes, and scheduling while building data, reward, and evaluation systems to improve compiler quality. You will utilize C/C++, Python, and potentially Rust to work with LLVM, MLIR, PTX, and Triton. The work involves co-designing workflows across models, inference, runtimes, and GPUs to solve problems in numerical precision, performance tradeoffs, and correctness verification for GPU-centric workloads.
Design and optimize intelligent 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 for GPU workloads.
Build data, environments, and reward systems to improve compiler quality, robustness, and numerical correctness.
Develop infrastructure for numerical validation, differential testing, and regression detection for transformed code.
Co-design compiler and verification workflows across the software stack, including models, runtimes, libraries, and GPUs.
Drive performance analysis and optimization for generated code with a focus on scalability and real-world deployment.
Integrate agentic and verification capabilities into production tools by working with internal compiler and hardware teams.
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
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