HPC Support Engineer

Job not on LinkedIn

🔥 38 minutes ago

🇺🇸 United States – Remote

💵 $122k - $162k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📞 Support Engineer

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Lambda

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $39.7M Venture Round on 2022-11

Consulting • Healthcare • Logistics

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.

📋 Description

• 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

• 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

• 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