Senior Solution Engineer

Highlights

• Partner with leading AI researchers to scale production-ready GPU cloud solutions.
• Lead hands-on PoCs and benchmarks demonstrating performance and value.
• Serve as technical voice of customers shaping product and engineering.

What they offer

• Generous cash & equity compensation
• Health, dental, and vision coverage for you and dependents
• Wellness and commuter stipends for select roles
• 401k plan with 2% company match (USA)
• Flexible paid time off

Ideal candidate

A customer-first technical leader who thrives in dynamic settings, owns complex enterprise deals end-to-end, and is passionate about turning massive compute challenges into seamless AI infrastructure.

Requirements

• 8+ years designing, deploying, and scaling enterprise cloud infrastructure
• 4+ years in Solution Architect, Solution Engineer, or technical customer-facing role
• 3+ years architecting and deploying cloud-based AI/ML workloads
• Proven track record deploying, benchmarking, and optimizing workloads on NVIDIA GPU architectures
• Strong experience with Kubernetes, Docker, SLURM, Terraform, and Ansible
• Deep knowledge of cloud networking including InfiniBand, RoCE, distributed file systems, security and cost optimization
• Experience coding in Python, Go, C/C++ (CUDA) or similar
• Experience partnering with Account Executives to close complex deals and present to C-level stakeholders