Senior GPU Engineer

Role description

Role Overview

Vultr is seeking a highly skilled and experienced Senior GPU Engineer to design, optimize, and scale GPU infrastructure for AI training and inference workloads.

What You Will Do

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, and develop and enhance automation frameworks.

Why It Might Be a Fit

The ideal candidate is deep experience with GPU systems, distributed performance tuning, and leading engineering initiatives across cross-functional teams.

Requirements

• 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

Benefits

• 100% company-paid insurance premiums for employee medical, dental, and vision plans
• 401(k) plan that matches 100% up to 4%, with immediate vesting
• Professional Development Reimbursement of $2,500 each year
• 11 Holidays + Paid Time Off Accrual + Rollover Plan
• 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