HPC Support Engineer
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
What You’ll Do
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.
Be expected to participate in a rotating on-call schedule where you’ll be responsible for major incidents and major customer alerts and issues.
You
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 Have
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.
Salary Range Information
This is a salaried non-exempt role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, ~400 employees (2025) and growing fast
We offer generous cash & equity compensation
Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.
We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
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
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Average salary estimate
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