HPC Support Engineer

Lambda

81d

About The Position

Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us. This position is part of our 24/7 coverage model and works one the following schedules: Monday - Friday, 8AM - 5PM Pacific Time, Sunday - Wednesday, 12PM - 11PM Pacific Time, Wednesday - Saturday, 12PM - 11PM Pacific Time.

Requirements

• 7+ years in cloud support operations or systems engineering.
• Strong experience with public cloud platforms (AWS, Azure, GCP) or GPU cloud providers.
• Very strong understanding and experience with Linux (Ubuntu) system administration.
• Proven experience in HPC environments, showcasing your expertise in Linux cluster administration, with strong preference for Kubernetes and/or Slurm for cluster orchestration.
• 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, MIG, GPUDirect RDMA.
• Experience with high throughput networking technologies (IB/RoCE).
• Experience with virtualization and container (Docker, Kubernetes) technologies.
• 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.

Nice To Haves

• Very strong experience with Python, including Python venv, conda, pyenv and other python virtual environments.
• Flexible availability for potential shifts outside of normal working hours/weekends.
• Experience with Storage providers and technologies (VAST, CEPH, Lustre, Weka, DDN).
• Familiarity with infrastructure-as-code tools (Terraform, Puppet, Ansible, Chef, etc.).
• Nvidia and Infiniband certifications.

Responsibilities

• Engage directly with customers to deeply understand their challenges, ensuring a personalized, and effective support experience.
• Dive into complex software and hardware issues, providing timely and efficient solutions.
• Craft comprehensive documentation of solutions and contribute to enhancing support procedures, ensuring continuous improvement in service quality.
• Identify common customer pain points and collaborate closely with engineering teams to develop innovative solutions, constantly improving the overall customer experience.
• Collaborate in the development of new and existing products, contributing your expertise to shape the future of deep learning cloud and HPC infrastructure.
• Take escalations from your peers while looking for opportunities to train and educate them in the process.
• Work cross functionally on project work, focusing on creating and improving support tooling.
• Participate in a rotating on-call schedule where you’ll be responsible for major incidents and major customer alerts and issues.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior