GPU Solutions Engineer

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 GPU Solutions Engineer to lead customers designing, implementing, and optimizing solutions on Vultr’s GPU platform. This role partners closely with Direct Sales, Customer Success, Product Management, Engineering and Support Departments to bring AI, ML, GPU workloads to life. The ideal candidate is technically strong and highly collaborative.

You have significant hands on experience in cloud infrastructure, networking, Kubernetes and modern GPU computing architectures. You are comfortable translating complex technical concepts into clear solutions, solving real-world challenges, guiding customers from initial design into production and collaborating internally and externally.

This is a highly visible role in a high-growth technology company, which will require strong problem-solving skills, customer engagement, and the ability to operate independently in a fast-paced environment. You will directly influence customer adoption and the overall experience on Vultr’s platform. This is your opportunity to join our fast growing team and leave your mark on Vultr and the future of Cloud Infrastructure.

Key Responsibilities

• Engage collaboratively with customers to understand their objectives.
• Create innovative Solutions and Architectures to solve complex Customer use cases.
• Establish relationships within Customers independent of Account Executives.
• 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 Product and Feature development.
• Lead resolution of complex customer challenges.
• Partner with Marketing to create reference architectures, white papers, workshops, and demonstrations for internal and external uses.
• Travel 25%

Qualifications

• Highly motivated / self-starter with a sense of ownership, willingness to learn, and desire to succeed.
• A collegial and collaborative approach working across Departments and Seniority levels within Vultr’s Customers and Vultr.
• 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 challenges.
• Experience with structured sales engagement models MEDDPIC, Sandler, BANT, etc.
• Expertise in the GPU ecosystem from GPU Hardware, Bare Metal and Virtualized Cloud Delivery, AL & ML frameworks and AI & ML Ops orchestration.
• Extensive knowledge of AI Models / Algorithms, Libraries, Compilers and Runtimes for diverse silicon ecosystems.
• GPU benchmarking and workload testing experience.
• Demonstrated experience with workload orchestration, Kubernetes and Slurm.
• System and Cluster level understanding of x86 server hardware architecture and Linux OS.
• Hands on with Infrastructure as Code methodologies including, Terraform, Ansible, etc.
• Networking experience, including knowledge of Infiniband, RoCE / UEC Ethernet, or other networking protocols.
• NCCL / RCCL performance optimization.
• High Performance Storage experience, knowledge of performant multi-user offerings including Open Source and COTS options.
• 5+ years of design, implementation, or consulting in applications and infrastructure experience
• 4+ years of Solution Engineering, Sales Engineering, Professional Services or Consulting experience
• 3+ year of experience deploying GPU-based AI, ML & Analytics solutions (e.g., for Training, Inference, Fine Tuning, Reinforcement Learning, Agentic Harnesses)

Compensation $180,000 - $200,000

Final compensation will vary depending on years of experience, background/skill set, location, and applicable laws.

Inclusion & Privacy

• 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.