---
title: 'HPC Support Engineer at Lambda'
canonical: 'https://feeny.ai/job/hpc-support-engineer-lambda-united-states-prw3emhhq0q4'
type: 'job'
last_seen: '2026-09-06'
---

# HPC Support Engineer at Lambda

- **Company:** Lambda
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-08-21
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/lambda/83e77f46-c393-47ae-83ed-db4b0daf6e18

## Job description

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.

This position is expected to participate in an on-call rotation.

## What You’ll Do

- 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

You

- 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.

## Nice to Have

- Experience with virtualization and container (Docker, Kubernetes) technologies.
- Experience with neoclouds/GPU cloud providers.
- Flexible availability for potential shifts outside of normal working hours/weekends.
- Experience with high performance storage systems.
- Familiarity with infrastructure-as-code tools (Terraform, Ansible, etc.)
- Experience with Nvidia GPUs and Infiniband.

Salary Range Information

This is a salaried exempt role. 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

## 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.

## About Lambda

## Company Overview
- **One-liner**: Lambda builds supercomputers and cloud infrastructure for training and deploying large-scale AI models, from single GPUs to gigawatt-scale AI factories.
- **Entity Type**: Private (funding stage not publicly disclosed; founded by ML engineers)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2012
- **Founders**: Stephen Balaban and Michael Balaban

## Core Business
- Primary industry: AI infrastructure / cloud computing for machine learning.
- Target customers: Frontier AI labs building large foundation models, hyperscalers scaling global AI infrastructure, and enterprises deploying AI in regulated industries (B2B, Enterprise).
- Mission: “Make compute as ubiquitous as electricity and give everyone in America the power of superintelligence” (also “One person, one GPU”).

## Products & Services
- **The Superintelligence Cloud**: A suite of cloud computing offerings specifically built for AI workloads, including:
  - **GPU Instances**: On-demand NVIDIA HGX B200, H100, and GB300 NVL72 instances for prototyping and testing.
  - **Managed Clusters**: Dedicated, single-tenant clusters (e.g., NVIDIA GB300 NVL72, HGX B200/H100) with full management and co-engineering from Lambda’s team.
  - **1-Click Clusters™**: Rapidly deployable clusters for training and inference.
  - **Superclusters**: Large-scale AI factories integrating high-density power, liquid cooling, and high-bandwidth interconnects.
- **AI Infrastructure Hardware**: Modular AI factory designs and NVIDIA-based systems for on-premise or colocation deployment.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total funding not publicly available; revenue not disclosed.
- **Notable Customers/Partners**: “World’s most advanced AI organizations” (frontier labs, hyperscalers, regulated enterprises). Leadership includes former executives from cloud and networking companies.
- **Growth Signals**: Active hiring across engineering, storage, security, and procurement roles; building AI factories at gigawatt scale; SOC 2 Type II certified; expanding from San Francisco to San Jose, CA.

## Competitive Advantages
- **AI‑First DNA**: 100% of engineering, operations, and support dedicated to AI – founded by ML engineers in 2012.
- **Single‑Tenant Isolation**: Shared‑nothing architecture for security and performance, with hardware‑level isolation.
- **Full‑Stack Expertise**: Co‑engineering from the same team building the infrastructure, enabling deep optimization for large training runs.
- **Hacker Culture**: Rooted in the Noisebridge hackerspace values of do‑ocracy, low ego, and “be excellent to each other.”
- **Performance**: Rack‑scale NVIDIA systems (GB300, B200, H100) with high‑speed interconnects (NVIDIA Quantum‑2 InfiniBand).

## Strategic Focus
- Scaling infrastructure to support the next generation of superintelligence, including gigawatt‑scale AI factories.
- Enabling frontier labs to train trillion‑parameter models and serve billions of tokens in production.
- Expanding compliance and security capabilities for regulated industries.
- Growing the cloud platform (The Superintelligence Cloud) as the primary go‑to‑market offering.

## Why Work Here
- **Culture**: Hacker ethos (Noisebridge roots), low ego, no yelling, no politics, no crypto. Values: build, move fast, care, be excellent to each other.
- **Work Environment**: Fast‑paced, high‑change, outcome‑focused. Emphasis on technical excellence and curiosity. Anonymous feedback encouraged.
- **Interview Process**: Clear, structured steps (recruiter chat → hiring manager → technical assessment → panel interviews → reference/offer). Pedigree is not everything; focus on what you’ve built.
- **Location & Remote**: Offices in San Francisco and San Jose, CA. FAQ page addresses remote/hybrid policy (details not provided in available snippets); some roles appear on‑site.
- **Perks**: Benefits, time off, and other perks are listed on the careers site (specifics not extracted here).

## Sources
1. [lambda.ai/about](https://lambda.ai/about)
2. [lambda.ai/](https://lambda.ai/)
3. [lambda.ai/careers](https://lambda.ai/careers)
4. [lambda.ai/leadership](https://lambda.ai/leadership)

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