HPC Support Engineer, Lambda

• 7+ years of experience in HPC or cloud support engineering, with customer-facing responsibilities
• Proven experience managing large-scale Linux clusters and distributed HPC/AI workloads
• Deep expertise in orchestration tools such as Kubernetes and/or Slurm
• Strong knowledge of GPU technologies (CUDA, NCCL, MIG, NVLink, GPUDirect RDMA)
• Skilled in high-throughput networking (InfiniBand, RoCE) and cluster storage solutions
• Familiarity with monitoring/logging platforms (Prometheus, Grafana, Datadog)
• Experience leading incident management and communicating directly with enterprise or hyperscale customers
• Ability to balance deep technical troubleshooting with clear, concise communication to executives and stakeholders

Desirable

• As a Super Intelligence HPC Support Engineer, you’ll be part of a specialized team dedicated to Lambda’s most strategic and complex customers — organizations operating hyperscale GPU clusters and pushing the boundaries of AI/ML at unprecedented scale
• You’ll serve as a technical expert and trusted partner, ensuring their environments remain reliable, performant, and ready for mission-critical workloads
• This role requires deep expertise in HPC and cluster orchestration, the ability to navigate complex incidents with precision, and the judgment to know when and how to engage engineering, data center, and product teams
• This is a customer-facing engineering role where the stakes are high: downtime has real business impact, and your expertise directly influences trust with some of the largest AI companies in the world
• Act as the primary technical point of escalation for Super Intelligence customers running hyperscale GPU clusters
• Lead incident response for complex issues, ensuring rapid triage, clear communication, and timely resolution
• Proactively identify risks in large environments (firmware, performance bottlenecks, orchestration issues) and drive preventative improvements
• Partner closely with Lambda Engineering and Product teams to influence roadmap decisions based on real customer needs
• Contribute to runbooks, best practices, and operational guides tailored for hyperscale environments
• Train and mentor other support engineers, raising the bar across Lambda’s support organization
• Participate in a rotating on-call schedule, owning critical incidents and high-priority alerts for SI customers