Senior HPC Support Engineer — Linux, GPUs, Kubernetes

Lambda Inc.; United States; On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Health, dental, and vision coverage

401k Plan with 2% company match

Wellness and commuter stipends

Flexible paid time off

Job summary

Lambda is seeking a senior HPC/Linux engineer to serve as a primary escalation point for infrastructure issues across GPU clusters. You will distinguish root causes, implement fixes, and drive improvements with engineering teams.

You’ll mentor junior staff and participate in rotating on-call duties, with emphasis on robust, scalable Linux systems and CUDA-enabled workloads. The role requires extensive experience with Kubernetes/Slurm, CI/CD, and monitoring tools, plus strong scripting and

Qualifications

• This role requires 3+ years in HPC/Linux environments with hands-on administration.
• Experience with Kubernetes or Slurm for cluster orchestration is preferred.
• Strong coding ability, CI/CD experience, and use of AI-assisted tooling to move fast.
• Proficient in monitoring/logging (Prometheus, Grafana, Datadog) and kernel-level debugging.
• Experience with CUDA, NCCL, NVLink, GPUDirect RDMA and high-throughput networks.
• Knowledge of distributed AI/HPC workloads and cloud networking (TCP/IP, VPN, firewalls).
• Ability to mentor junior engineers and participate in on-call rotations.

Responsibilities

• Serve as senior escalation point for infrastructure issues down to hardware/drivers.
• Differentiate hardware vs driver vs kernel vs workload misconfigurations clearly.
• Identify gaps in processes/tools/docs and implement fixes.
• Develop small internal tools and scripts using AI-assisted workflows.
• Conduct root-cause analysis across distributed GPU clusters.
• Document solutions and improve support procedures.
• Collaborate with engineering to convert pain points into fixes.
• Mentor junior engineers and take escalations during on-call rotation.
• Lead major incident ownership during on-call, with quick resolution.
• Pitch in during high-volume deployments when needed.

Skills

HPC administration

Linux system administration

Kernel debugging

CI/CD pipelines

Scripting with AI tools

Monitoring & logging

CUDA/NCCL/GPUDirect

NVLink & InfiniBand

TCP/IP/VPN/Firewall

On-call support & mentoring

Distributed AI/HPC workloads

Kubernetes/Grid orchestration

Tools

Kubernetes

Slurm

Docker

Terraform

Ansible

Job description

Lambda is seeking a senior HPC/Linux engineer to serve as a primary escalation point for infrastructure issues across GPU clusters. You will distinguish root causes, implement fixes, and drive improvements with engineering teams.

You’ll mentor junior staff and participate in rotating on-call duties, with emphasis on robust, scalable Linux systems and CUDA-enabled workloads. The role requires extensive experience with Kubernetes/Slurm, CI/CD, and monitoring tools, plus strong scripting and