Senior GPU Engineer

WebHosting; United States; Remote; USD 190,000 - 210,000; Full time

Benefits offered by this job

Insurance premiums

401(k) match

Development stipend

Holidays + PTO

Sabbatical program

Remote setup allowance

Internet reimbursement

Gym membership

Wellable subscription

Job summary

Vultr is seeking a highly skilled Senior GPU Engineer to design, optimize, and scale GPU infrastructure for AI training and inference workloads. You will own end-to-end system performance from hardware qualification to cluster-level optimization and mentor teammates.

The role emphasizes deep GPU systems experience, distributed performance tuning, and leadership across cross-functional teams in a fast-growing cloud company.

Qualifications

• Deep experience with GPU systems and AI workloads.
• Proven ability to lead engineering initiatives.
• Strong collaboration 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.

Skills

GPU systems

Distributed performance tuning

Leadership & mentoring

Tools

NCCL

Job description

Vultr is on a mission to make high-performance cloud infrastructure easy to use, affordable, and locally accessible for enterprises and AI innovators around the world. With 33 global cloud data center locations, Vultr is trusted by hundreds of thousands of active customers across 185 countries for its flexible, scalable, global Cloud Compute, Cloud GPU, Bare Metal, and Cloud Storage solutions. In December 2024 Vultr announced an equity financing at a $3.5 billion valuation. Founded by David Aninowsky and self-funded for over a decade, Vultr has grown to become the world’s largest privately-held cloud infrastructure company.

Vultr Cares

• 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

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

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.

We also take your privacy seriously. We handle personal information responsibly and follow applicable laws, including U.S. privacy rules and India’s Digital Personal Data Protection Act, 2023. Your data is used only for legitimate business purposes and is protected with proper security measures.

Where allowed by law, applicants may request details about the data we collect, access or delete their information, withdraw consent for its use, and opt out of nonessential communications. For more details, please see our Privacy Policy .