190K–210K USD / year
Senior GPU Engineer
EngineeringRemote — United States
Published on 2026-10-06
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About this role
Vultr is seeking a Senior GPU Engineer to design, optimize, and scale GPU infrastructure for AI workloads. The candidate will be responsible for end-to-end system performance, from hardware qualification to cluster-level optimization, while mentoring and escalating team capabilities.
About the company
Vultr provides cloud compute, storage, and GPU infrastructure across global data centers. It serves developers and businesses deploying applications on flexible cloud resources.
The team
Engineering, AI Infrastructure
Stack
GPU infrastructureLinux systemsPythonAutomation frameworks (Ansible)
What you'll do
- Own end-to-end validation of GPU clusters
- Lead hardware qualification for new GPU platforms
- Analyze and resolve performance bottlenecks
- Establish and maintain validation frameworks
- Develop automation frameworks for cluster provisioning
- Troubleshoot complex distributed system issues
- Drive cross-functional initiatives for GPU reliability
What we're looking for
- 5+ years in GPU infrastructure or distributed systems
- Strong expertise in Linux and server hardware
- Experience with large-scale GPU clusters
- Strong programming skills in Python
- Experience with automation frameworks
- Strong debugging skills across system layers
- Excellent communication and collaboration skills
Benefits
- 100% company-paid health insurance
- 401(k) matching up to 4%
- Professional Development Reimbursement of $2,500 yearly
- Increased PTO over tenure
- $500 stipend for remote office setup