Who We Are

Vultr is on a mission to make high-performance cloud computing easy to use, affordable, and locally accessible for businesses and developers around the world. With 32 cloud data center locations around the world, Vultr has served over 1.5 million customers across 185 countries with flexible, scalable, global Cloud Compute, Cloud GPU, Bare Metal, and Cloud Storage solutions. Founded by David Aninowsky, Vultr is the worlds largest privately-held cloud infrastructure company that just completed significant growth financing at a $3.5 billion valuation led by LuminArx and AMD.

Why Vultr

Simply put, Vultr is committed to providing businesses worldwide with the best price-to-performance of any cloud computing platform. Our global reach of data centers and strategic new partnerships provide the foundation to maximize the impact of our existing services, new product improvements, and releases, which in turn, is a catalyst for your own success. Vultr is taking flight, and this is your opportunity to leave your mark on the future of Cloud Infrastructure!

Vultr Cares

A 100% remote work environment + a company-wide virtual get together
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 + take off your birthday!
Commitment matters to Vultr! Increased PTO at 3 year anniversary + 1 month sabbatical at 5 year anniversary + Anniversary Bonus each year
$500 first year remote office setup + $400 each year following for new equipment
Monthly internet reimbursement up to $75
$50 per month for a gym membership

Join Vultr

The Engineering team is a central pillar of our growth strategy, and we are looking for a GPU Fabric and Performance Engineer to help drive our vision.

What to expect:

Work with cutting-edge technology to provide highly performant GPU clusters to our customers
Work with network engineering to design and implement GPU fabric (InfiniBand and RoCE) networks
Engage with our platform teams to provide reliable automation for onboarding and offboarding systems within the cluster
Define performance expectations and provide tooling to validate performance
Engage with the team on best practices for implementing GPU clusters, and performance tuning both at the hardware and OS layer
Work with solutions engineers to provide training on our systems to improve our user experience and engagement

Our ideal candidate will have:

Experience with large-scale GPU clusters
Experience maintaining hardware for server and networking infrastructure
Experience performance tuning for AI inference and training workloads
Experience designing and implementing scalable GPU fabric solutions
Proficient in Linux
Expertise in automation tooling and frameworks

Compensation

$140,000 - $160,000 + bonus

This salary can vary based on location, years of experience, background and skill set.

Vultr is committed to an inclusive workforce where diversity is celebrated and supported. All employment decisions at Vultr are based on business needs, job requirements, and individual qualifications.

Vultr regards the lawful and correct use of personal information as important to the accomplishment of our objectives, to the success of our operations and to maintaining confidence between those with whom we deal and ourselves. As such the use of various key privacy controls enables Vultr’s treatment of personal information to meet current regulatory guidelines and laws.

Workforce members have the right under US state law where and when applicable and certain other privacy and data protection laws, as applicable, to: fair and equal treatment, knowing what personal data we gather and retain, for what purpose, and the ability to access and/or delete such data. You also have the right to opt out of communications from Vultr and approved third- parties at any time.