# Senior Deep Learning Performance Architect - LPU

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

Canonical page: https://career.thegoodapps.co/jobs/5a74efa7-d4de-4ab5-946c-0fc2e9ac0831

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

- Employment type: full time
- Seniority: Senior
- Salary: 152000 – 287500 USD per year

## Summary

NVIDIA seeks a deep learning performance architect to design GPU and system architectures that advance AI inference speed and efficiency through hardware-software co-design. This role suits someone with strong ML fundamentals and systems-level performance expertise who wants to guide next-generation GPU architecture decisions.

_Our summary, not NVIDIA's wording._

## Skills named

C++, Computer Architecture, CUDA, Deep Learning, Machine Learning, Python

## Required

- MS or PhD in CS, EE, Math or equivalent experience
- 5+ years relevant experience
- Strong mathematical foundation in machine learning and deep learning
- Expert programming skills in C, C++, and/or Python
- Familiarity with GPU computing (CUDA or similar)
- Knowledge of HPC stack (MPI, OpenMP)
- Strong knowledge of computer architecture

## Nice to have

- Systems-level performance modeling, profiling, and analysis
- Experience characterizing and modeling system-level performance with comparison studies
- Background improving AI inference workloads through CUDA kernel development or custom ASIC compilers

Apply on NVIDIA's site: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Remote/Senior-Deep-Learning-Performance-Architect_JR2012736