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.
Skills Required
- 3+ years of hands-on HPC experience in administration, support, or engineering
- Strong Linux system administration experience
- Proven experience in HPC environments and Linux cluster administration
- Experience with Kubernetes and/or Slurm for cluster orchestration
- Strong coding ability and CI/CD experience (including use of AI-assisted tools)
- Proficiency with monitoring/logging tools such as Prometheus, Grafana, Datadog
- Strong log analysis, kernel-level debugging, and performance profiling skills
- Experience with CUDA, NCCL, NVLink, GPUDirect RDMA
- Experience with high-throughput networking technologies (InfiniBand / RoCE)
- Knowledge of distributed AI/ML or HPC workloads
- Knowledge of TCP/IP, VPN, and firewall configuration in cloud environments
- Ability to work independently, mentor junior engineers, and participate in on-call rotations
Lambda Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lambda and has not been reviewed or approved by Lambda.
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Fair & Transparent Compensation — Pay is considered competitive for an AI infrastructure company, with posted ranges and observed offers indicating strong packages for senior technical roles. Compensation is often characterized as competitive or top‑shelf, aligning with market expectations.
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Healthcare Strength — Health, dental, and vision coverage are characterized as strong, with broad‑network plans noted and positive experiences highlighted. This foundation supports overall satisfaction with core insurance benefits.
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Leave & Time Off Breadth — Flexible or unlimited PTO is described as actually used, complemented by paid holidays and sick time. Generous parental leave examples further expand the time‑off offering.
Lambda Insights
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.
