AI Systems Engineer - Distributed, Multi-GPU (Equity)

NVIDIA AI; Eugene (OR); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Health Insurance

Job summary

NVIDIA AI in Oregon seeks an engineer to bring up, validate, and debug large-scale AI clusters and workloads, ensuring stability across multi-GPU and multi-node deployments. You will diagnose issues and optimize performance in a demanding AI environment.

The role includes designing benchmarking tooling and automation workflows to accelerate research and production workloads, requiring strong Python and C/C++ skills and hands-on experience with HPC systems.

Qualifications

• BS or MS in Computer Science or related field.
• 3+ years in software development for AI or systems-level applications.
• Strong programming skills in Python and C/C++.

Responsibilities

• Bring up, validate, and debug large-scale AI clusters and workloads.
• Design and implement benchmarking tooling and automation workflows.

Skills

Python

C/C++

CUDA

Distributed Computing

Deep Learning

Benchmarking

Cluster Management

Automation

Profiling

Education

Bachelor's or Master's degree in Computer Science or related field

Job description

NVIDIA AI in Oregon seeks an engineer to bring up, validate, and debug large-scale AI clusters and workloads, ensuring stability across multi-GPU and multi-node deployments. You will diagnose issues and optimize performance in a demanding AI environment.

The role includes designing benchmarking tooling and automation workflows to accelerate research and production workloads, requiring strong Python and C/C++ skills and hands-on experience with HPC systems.