Senior GPU Engineer

Commitment matters to Vultr! Increased PTO at 3 year and 10 year anniversary + 1 month paid sabbatical every 5 years + Anniversary Bonus each year

$500 stipend for remote office setup in first year + $400 each following year

Internet reimbursement up to $75 per month

Gym membership reimbursement up to $50 per month

Company paid Wellable subscription

Join Vultr

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. This is a highly visible role in a high-growth technology company, which will require ownership of end-to-end system performance, from hardware qualification to cluster-level optimization, and the ability to mentor and elevate team capabilities. This is your opportunity to join our fast growing team and leave your mark on Vultr and the future of Cloud Infrastructure.

Key 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

Qualifications

5+ years of experience in GPU infrastructure, HPC, or distributed systems

Strong expertise in Linux systems and server hardware

Proven experience with large-scale GPU clusters

Strong programming skills in Python (beyond basic scripting)

Experience with automation frameworks (Ansible or similar)

Experience defining validation standards and performance baselines for GPU infrastructure

Strong debugging skills across system layers (hardware → OS → network)

Familiarity with high-speed networking concepts to coordinate with fabric engineering teams

Excellent communication and cross-team collaboration skills

Compensation

$190,000 - $210,000

Final compensation will vary depending on years of experience, background/skill set, location, and applicable laws.

Inclusion & Privacy

We are an equal opportunity employer and are committed to creating an inclusive environment for all employees. We welcome applications from individuals of all backgrounds and experiences, and we prohibit discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status under applicable laws. Vultr will consider qualified applicants with arrest or conviction records in accordance with applicable laws and will not conduct a background check until after an offer of employment has been extended and accepted.

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