wehrtyou
GPU Systems Engineer
At a Glance
- Location
- London, United Kingdom; New York, NY, United States; Seattle, Washington, United States
- Experience
- 5+ years
- Posted
- 2026-05-06T13:14:54-04:00
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Engineering
- Finance
- Insurance
- Media
- Medical
Benefits & Perks
off (including 20 vacation days and 10 paid holidays in the U
s and a competitive benefits package which includes medical, dental, vision,
Requirements
5+ years of experience in large-scale Linux systems engineering in HPC, AI or distributed infrastructure roles.
Extensive experience in Linux system installation, performance tuning, and troubleshooting
Expertise in troubleshooting distributed GPU workloads
Deep knowledge around GPU optimization and performance
Proficiency in Python scripting and automation frameworks
CUDA or C/C++ experience is a plus
Responsibilities
Design, build, and optimize large-scale distributed GPU compute clusters
Identify and resolve GPU workloads’ performance bottlenecks across compute, storage, and networking layers
Collaborate with research and development teams to profile, benchmark, and fine-tune GPU-based workloads
Automate system deployment, monitoring, and troubleshooting across thousands of nodes
Collaborate with research, and engineering teams to support evolving workloads
Test and deploy new hardware and software, and partner with vendors to resolve complex issues