# Engineering Manager, AI Compiler Analysis

Hiring organization: [NVIDIA](https://career.thegoodapps.co/organizations/nvidia)

Canonical page: https://career.thegoodapps.co/jobs/8f691611-a4ad-4bfe-8d6c-19dccb1da862

Listed on NVIDIA's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Senior
- Salary: 168000 – 322000 USD per year

## Summary

Lead a technical team building verification systems for NVIDIA's AI compilers, ensuring deep learning models compile correctly to GPU code. This role suits experienced engineering managers who understand compiler optimization and want to drive quality at the intersection of AI frameworks and systems engineering.

_Our summary, not NVIDIA's wording._

## Skills named

CUDA, JAX, Lean, PyTorch

## Required

- BS, MS, or PhD in Computer Science, Computer Engineering, or related field (or equivalent experience)
- 10+ years of relevant software engineering experience
- At least 3 years leading engineering teams or major technical initiatives
- Experience with AI compiler or framework technologies (MLIR, TensorRT, XLA, Triton, PyTorch, or JAX)
- Fluency with AI workload and ML framework concepts including computation graphs, tensor operations, and model execution
- Strong people management skills including hiring, mentoring, and performance management

## Nice to have

- Hands-on experience with deep learning compiler internals including IRs, optimization pipelines, code generation, and runtime integration
- Experience verifying performance-sensitive compiler behavior and root-causing regressions in production AI/ML systems
- Background in formal verification or programming languages with familiarity in formal specifications, theorem proving, or symbolic reasoning

Apply on NVIDIA's site: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Engineering-Manager--AI-Compiler-Analysis_JR2022377