Super Intelligence HPC Support Engineer

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October 13

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Lambda

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Artificial Intelligence • SaaS • Hardware

Lambda is a company that provides cloud-based solutions and hardware for AI development. They offer on-demand GPU clusters for multi-node training and fine-tuning, as well as inference endpoints and APIs. Their products include the Lambda GPU Cloud, which features NVIDIA's latest generation of infrastructure for enterprise AI, and customizable GPU workstations and desktops designed for AI and deep learning. Lambda also offers a one-line installation and managed upgrade path for machine learning tools like PyTorch, TensorFlow, and NVIDIA CUDA. By focusing on enabling AI developers, Lambda provides both public and private cloud services with access to powerful NVIDIA Tensor Core GPUs.

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

🔧 Hardware

💰 $39.7M Venture Round on 2022-11

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Health, dental, and vision coverage for you and your dependents • Wellness and Commuter stipends for select roles • 401k Plan with 2% company match (USA employees) • Flexible Paid Time Off Plan that we all actually use