Senior HPC Engineer - Fleet Engineering

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.

What You’ll Do

Build and operate monitoring and alerting for cluster health — fabric, GPU, power/thermal, and job-level signals — to detect and respond to issues proactively

Remotely deploy and configure large-scale HPC clusters for AI workloads using automation wherever possible

Automate cluster lifecycle: operating systems, firmware, drivers, and networking, managed as code (Ansible, Terraform) rather than by hand

Create runbooks and automated remediations for common cluster failure modes, designed so Support and HPC Support can run them safely

Troubleshoot and resolve cluster issues across InfiniBand/RoCE, NCCL, GPU-direct, fabric, switching, and power — working closely with on-site deployment teams

Participate in on-call rotations and lead incident response for cluster-level problems

Contribute to and maintain Standard Operating Procedures, and feed clear requirements back to other engineering teams on simplification, stability, and operational efficiency

You

7+ years of experience in Site Reliability Engineering, HPC Engineering, DevOps, or a similar role

Have a strong understanding of modern AI infrastructure, from GPU architectures to hardware performance optimization

Strong understanding of Linux-based systems in a distributed environment

Are experienced configuring and troubleshooting InfiniBand (IB), RoCE, CLOS fabrics, 100GbE, Ethernet/switching, GPU-direct, and NCCL environments

Solid understanding of Python and Go, with experience working with SWE teams to improve internal tooling.

Experience with monitoring and alerting tools (e.g., Prometheus, Grafana, Clickhouse)

Proficiency in automation and configuration management tools (e.g., Ansible, Terraform)

Have excellent problem-solving and troubleshooting skills and an innate attention to detail

Passion for continuous improvement and innovation

Nice to Have

Experience with machine learning / deep learning frameworks (PyTorch, TensorFlow) and benchmarking tools (DeepSpeed, MLPerf)

Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes)

Experience building and/or operating HPC resources.

Depth in the NVIDIA hardware and firmware ecosystem

Experience with data center power and thermal design

Background in chaos engineering or similar reliability testing methodologies

Understanding of compliance frameworks (SOC 2, ISO 27001, etc.)

Salary Range Information

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.