[Hiring] Staff AI/ML Infrastructure Engineer @Vultr

Role Description

Vultr is seeking a highly skilled and experienced Staff AI/ML Infrastructure Engineer to drive the design, performance, and reliability of our AI infrastructure platform. The ideal candidate is a hands-on infrastructure expert with deep GPU systems knowledge, strong automation experience, and a track record of technical leadership in high-performance environments. This is a highly visible role in a high-growth technology company, requiring ownership of complex hardware and software systems, collaboration across engineering and vendor partners, and a relentless focus on operational excellence. This is your opportunity to build the foundation powering next-generation AI workloads and leave a lasting mark on Vultr and the future of cloud infrastructure.

Key Responsibilities

• Design and maintain GPU and bare metal infrastructure in containerized and physical environments
• Build scalable GPU clusters in partnership with networking and provisioning teams
• Ensure reliable, high-performance provisioning of GPU infrastructure
• Develop automated testing systems for GPU-based platforms
• Implement infrastructure solutions for diverse AI/ML workloads
• Benchmark, test, and troubleshoot GPU performance at scale
• Collaborate with hardware vendors on drivers, firmware, and support
• Resolve hardware, software, and performance issues across environments
• Optimize rail and cluster performance across architectures
• Lead technical direction and mentor engineers on infrastructure best practices

Qualifications

• 5+ years experience working with bare metal infrastructure and hardware automation
• Hands-on experience with modern NVIDIA/AMD GPU platforms and high-performance networking (RoCE, InfiniBand)
• Deep knowledge of BIOS, BMC, firmware, NICs, Redfish/IPMI, and PCIe systems
• Strong Linux systems experience including device drivers and package management
• Experience building infrastructure automation using Python and Bash
• Familiarity with GPU drivers, firmware ecosystems, and vendor collaboration
• Experience designing and delivering complex infrastructure products
• Proven ability to lead projects and mentor engineers
• Experience optimizing multi-cluster GPU environments
• Exposure to Machine Learning software stacks and GPU workloads

Compensation

$145,000 - $160,000. This salary can vary based on location, years of experience, background and skill set.

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
• 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

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.