HPC Support Engineer

Lambda

Senior HPC Support Engineer at Lambda resolving complex infrastructure and platform issues. Involved in troubleshooting, documentation, and collaboration with engineering teams for permanent fixes.

Posted 7/31/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $122,000 - $162,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in HPC environments, particularly in Linux cluster administration, Kubernetes, and Slurm orchestration. Proficient in troubleshooting complex infrastructure issues, performing root-cause analysis, and utilizing AI tools for operational efficiency.

Highest-signal resume keywords

HPC ExperienceLinux System AdministrationKubernetes Cluster OrchestrationCI/CD ExperienceLog Analysis and Debugging

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

HPC AdministrationLinux SupportCluster AdministrationAI-Assisted ToolsLog AnalysisKernel-Level DebuggingPerformance ProfilingCUDANCCLHigh Throughput Networking

Soft Skills

MentoringCollaborationProblem-SolvingProactive Identification

Tools & Technologies

PrometheusGrafanaDatadogKubernetesSlurm

Industry Keywords

Distributed SystemsAI/ML WorkloadsTCP/IPVPNFirewalls

Tech Stack

Tools & technologies

CloudDistributed SystemsFirewallsGrafanaKubernetesLinuxPrometheusTCP/IP

About the role

Key responsibilities & impact

Serve as a senior technical escalation point, troubleshooting the hardest infrastructure and platform issues down to the hardware, driver, or kernel level when needed
Quickly and accurately distinguish between hardware failures, driver issues, kernel-level problems, and customer workload misconfiguration, so issues get resolved correctly the first time
Proactively identify process, tooling, and documentation gaps, and go fix them, not just wait for them to be assigned
Use AI tools effectively to build scripts, automations, or small internal tools that close real operational gaps (no professional development background required)
Perform root-cause analysis across distributed systems, clusters, and GPU infrastructure
Craft clear documentation of solutions and contribute to evolving support procedures
Collaborate closely with engineering teams to turn recurring customer pain points into permanent fixes
Take escalations from peers while training and mentoring them in the process
Participate in a rotating on-call schedule, owning major incidents and major customer issues
Be ready to roll up your sleeves and pitch in wherever needed, especially during fast, high-volume deployments

Requirements

What you’ll need

3+ years of hands-on HPC experience in an administration, support, or engineering role.
Very strong understanding and experience supporting Linux in a system administration role.
Proven experience in HPC environments, showcasing your expertise in Linux cluster administration, with strong preference for Kubernetes and/or Slurm for cluster orchestration.
Strong coding ability and CI/CD experience, with a track record of using AI-assisted tools to move fast.
Proficiency with monitoring/logging tools (Prometheus, Grafana, Datadog).
Strong skills in log analysis, debugging kernel-level issues, and performance profiling.
Experience with CUDA, NCCL, NVLink, GPUDirect RDMA.
Experience with high throughput networking technologies(IB/RoCE).
Knowledge of distributed AI/ML or HPC workloads.
Knowledge of TCP/IP, VPN, and firewalls in cloud environments.
Ability to work independently and mentor junior support engineers.

Benefits

Comp & perks

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