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Senior GPU Engineer
Vultr
Remote · United States$15,833–17,500 gross/mofull-timeVultr Careers
Vultr is seeking a highly skilled and experienced Senior GPU Engineer to design, optimize, and scale GPU infrastructure for AI training and inference workloads. The ideal candidate is deep experience with GPU systems, distributed performance tuning, and leading engineering initiatives across cross-functional teams.
Responsibilities
- Own end-to-end validation of GPU clusters and new hardware platforms
- Lead hardware qualification and bring-up for new GPU platforms
- Analyze and resolve performance bottlenecks across GPU, CPU, PCIe, and network layers
- Establish and maintain validation frameworks, test suites, and performance baselines
- Develop and enhance automation frameworks for cluster provisioning and validation
- Define performance baselines and validation methodologies
- Troubleshoot complex distributed system issues, including communication libraries (e.g., NCCL)
- Improve system reliability through proactive testing and tuning
- Mentor engineers and elevate team capabilities
- Drive cross-functional initiatives to improve GPU cluster reliability and efficiency
Languages
- Work format
- Remote
- Seniority
- Senior
- Posted
- 6 Oct 2026
- Last verified
- In the last 5 days
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