Platform Architect: GPU Testing & Benchmarking

NVIDIA AI; Santa Clara (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Equity

Generous benefits

Job summary

NVIDIA AI is seeking a senior engineer to own the architecture and roadmap for a shared platform dedicated to classical testing, scientific benchmarking, and agentic evaluation. You will design infrastructure and operate heterogeneous GPU capacity to produce reproducible quality signals and ensure production readiness gates.

The role requires a BS or MS in computer science with 5+ years in production C++ and Python, plus strong Linux, containerization, and GPU scheduling skills

Qualifications

• BS or MS in Computer Science or related field with 5+ years of industry experience in production C++ and Python.
• Proficiency in Linux, containerization, and GPU compute schedulers like Slurm or Kubernetes.

Skills

C++

Python

Linux

Git

GitHub/GitLab Pipeline Orchestration

CMake

Docker

Python Packaging

Slurm

Kubernetes

CUDA

Distributed Systems

Scientific Benchmarking

LLM Evaluation

Nsight Profiling

PyTorch

Education

BS/MS in Computer Science

Tools

Docker

Kubernetes

Slurm

CUDA

Nsight Profiling

PyTorch

CMake

Git

GitHub/GitLab Pipeline Orchestration

Job description

NVIDIA AI is seeking a senior engineer to own the architecture and roadmap for a shared platform dedicated to classical testing, scientific benchmarking, and agentic evaluation. You will design infrastructure and operate heterogeneous GPU capacity to produce reproducible quality signals and ensure production readiness gates.

The role requires a BS or MS in computer science with 5+ years in production C++ and Python, plus strong Linux, containerization, and GPU scheduling skills