HPC Support Engineer - Named Accounts

Reposted 16 Days Ago
Be an Early Applicant
Hiring Remotely in USA
Remote
137K-206K Annually
Senior level
Software
The Role
As a Super Intelligence HPC Support Engineer, you'll manage incidents for hyperscale GPU clusters, ensuring reliability and performance, and collaborating with engineering teams.
Summary Generated by Built In

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.


About this role:

As a Super Intelligence HPC Support Engineer, you’ll be part of a specialized team dedicated to Lambda’s most strategic and complex customers — organizations operating hyperscale GPU clusters and pushing the boundaries of AI/ML at unprecedented scale.

You’ll serve as a technical expert and trusted partner, ensuring their environments remain reliable, performant, and ready for mission-critical workloads. This role requires deep expertise in HPC and cluster orchestration, the ability to navigate complex incidents with precision, and the judgment to know when and how to engage engineering, data center, and product teams.

This is a customer-facing engineering role where the stakes are high: downtime has real business impact, and your expertise directly influences trust with some of the largest AI companies in the world.

What You’ll Do

  • Act as the primary technical point of escalation for Super Intelligence customers running hyperscale GPU clusters.

  • Lead incident response for complex issues, ensuring rapid triage, clear communication, and timely resolution.

  • Proactively identify risks in large environments (firmware, performance bottlenecks, orchestration issues) and drive preventative improvements.

  • Partner closely with Lambda Engineering and Product teams to influence roadmap decisions based on real customer needs.

  • Contribute to runbooks, best practices, and operational guides tailored for hyperscale environments.

  • Train and mentor other support engineers, raising the bar across Lambda’s support organization.

  • Participate in a rotating on-call schedule, owning critical incidents and high-priority alerts for SI customers.

You

  • 7+ years of experience in HPC or cloud support engineering, with customer-facing responsibilities.

  • Proven experience managing large-scale Linux clusters and distributed HPC/AI workloads.

  • Deep expertise in orchestration tools such as Kubernetes and/or Slurm.

  • Strong knowledge of GPU technologies (CUDA, NCCL, MIG, NVLink, GPUDirect RDMA).

  • Skilled in high-throughput networking (InfiniBand, RoCE) and cluster storage solutions.

  • Familiarity with monitoring/logging platforms (Prometheus, Grafana, Datadog).

  • Experience leading incident management and communicating directly with enterprise or hyperscale customers.

  • Ability to balance deep technical troubleshooting with clear, concise communication to executives and stakeholders.

Nice to Have

  • Python automation experience (venv, conda, pyenv).

  • Certifications in NVIDIA or InfiniBand technologies.

  • Familiarity with infrastructure-as-code tools (Terraform, Ansible, Puppet, Chef).

  • Hands-on experience with storage providers and technologies (VAST, CEPH, Lustre, Weka, DDN).

  • Experience operating in high-availability, 24/7 environments.

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, with 500+ employees, and growing fast

  • Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove

  • We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

  • Our values are publicly available: https://lambda.ai/careers

  • We offer generous cash & equity compensation

  • 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.

Top Skills

Ansible
Ceph
Chef
Cuda
Datadog
Ddn
Gpu
Gpudirect Rdma
Grafana
Hpc
Infiniband
Kubernetes
Lustre
Mig
Nccl
Nvlink
Prometheus
Puppet
Python
Roce
Slurm
Terraform
Vast
Weka
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The Company
HQ: San Francisco, CA
106 Employees
Year Founded: 2012

What We Do

Lambda provides computation to accelerate human progress. We're a team of Deep Learning engineers building the world's best GPU workstations and servers. Our products power engineers and researchers at the forefront of human knowledge. Customers include Microsoft, MIT, Los Alamos National Lab, Disney, Tencent, Kaiser Permanente, Stanford, Harvard, Caltech, and the Department of Defense.

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