This role pays more than
50%
of similar roles. Most pay
$172,100–$235,750
— the shaded band above.
At the midpoint, this role pays about
$197k
versus about
$204k
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
923 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 905 roles with salary data.
As a Senior Compiler Engineer, Agentic Compiler Systems, you will join the team developing intelligent compiler technologies for an accelerated computing stack. You will design and build advanced compiler systems, including compiler-oriented agents, multi-step transformation workflows, and infrastructure for numerical validation, differential testing, and regression detection. Your daily work involves reasoning about low-level IR, code generation, optimization passes, and performance tradeoffs across GPU-centric workloads while collaborating with hardware and runtime teams to integrate capabilities into production tools. The role requires expertise in C++, Python, and potentially Rust, alongside experience with LLVM, MLIR, PTX, or Triton. You will solve complex problems regarding numerical correctness, scalability, and automated compiler workflows. This position focuses on the intersection of compilers, agentic systems, and verification to improve developer productivity and system performance across software and hardware boundaries.
Design and optimize intelligent low-level compiler systems including agentic workflows and multi-step transformations.
Develop systems to reason about low-level IR, code generation, optimization passes, and performance tradeoffs for GPU workloads.
Build data, verification, reward, and evaluation systems to improve compiler quality and numerical correctness.
Create 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 kernels.
Integrate agentic and verification capabilities into production tools by collaborating with hardware and software teams.
Perform 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 LLVM, MLIR, PTX, Triton, or other IR/codegen frameworks (preferred).
CUDA
Python
C++
Rust
GPU Programming
TRT-LLM
SGLang
vLLM
Transformer Engine
Reinforcement Learning
High-Performance Computing
Compilers
Deep Learning
Agentic AI
Multi-agent Systems
Inference Systems
C++
PTX ISA
CUDA
LLVM IR
MLIR
OpenCL
Linkers
Programming Language Design
GPU Architecture
Deep Learning
Generative AI
Code Generation
Compiler Infrastructure