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Vultr

GPU Solutions Engineer

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Remote
Senior level
Remote
Senior level
The Senior Solutions Engineer focuses on GPU-based AI/ML solutions, engaging with customers, managing proof of concepts, and collaborating with teams to drive revenue and customer success.
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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 world's 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 Solutions Engineering team is a central pillar of our growth strategy, and we are looking for a Senior Solutions Engineer focused on GPU / AI&ML. The Senior Solutions Engineer will play a significant role in growing the business via technical pre and post-sales engagements and will be responsible for accelerating and growing engagements with a focus on GPU infrastructure. 

The ideal candidate will have experience as a Pre-Sales, and Proof of Concepts with a proven track record of taking initiative in innovative high growth companies. You will need a strong understanding and involvement within the AI community. You know what tools AI founders & developers use and how to find solutions for their problems. We are looking for someone who is excited about the opportunity to be the face of AI infrastructure for our prospects and customers. 


What to expect: 

  • Focus on capturing GPU based Generative AI / ML / Analytics revenue. 
  • Meeting potential and current customers to most effectively communicate what and how Vultr can address their needs. 
  • Engage collaboratively with customers to understand their business problems. Scope and define proof of concepts to accelerate and grow opportunities. 
  • Educate customers on the value that Vultr provides and expand their horizons about the art of the possible. 
  • Participate in deep architectural discussions and design exercises to create world-class solutions at Vultr. 
  • Collaborate with Engineering and Product Management to deliver Voice of the Customer to guide continued future customer success. 
  • Partner with Marketing to create reference architectures, white papers, workshops, and demonstrations for internal and external uses. 
  • As a Subject Matter Expert participate in coaching and mentoring the Sales team on GPU / AI&ML topics. 
  • Travel 20%.

Our ideal candidate will have:

  • Highly motivated/self-starter with a sense of ownership, willingness to learn, and desire to succeed
  • Skilled at influencing, guiding, and facilitating stakeholders and peers with decision making
  • Ability to articulate technical and business concepts to diverse stakeholders. 
  • Demonstrated willingness and ability to dig into unfamiliar territories to solve complex problems. 
  • Expertise in the GPU ecosystem from GPU Hardware, Bare Metal and Virtualized Cloud Delivery, AL & ML frameworks and AI & ML Ops orchestration.
  • 6+ years of design, implementation, or consulting in applications and infrastructure experience
  • 4+ years of Solution Engineering - Solutions Architect - Sales Engineering experience
  • 3+ year of experience deploying GPU-based AI, ML & Analytics solutions (e.g., for training, fine-tuning, and inference)
  • Extensive knowledge of AI Models / Algorithms, Libraries, Compilers and Runtimes for diverse silicon ecosystems. 
  • System level understanding of server hardware architecture and Linux OS. 
  • Networking experience, including knowledge of Ethernet, Infiniband or other networking protocols
  • Storage experience, knowledge of performant multi-user offerings including Open Source and COTS options. 

Compensation

$120K - $170K + Bonus

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.

Top Skills

AI
Ai & Ml Ops Orchestration
Gpu Hardware
Linux
Ml Frameworks

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