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About the Role
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers, ranging from AI researchers to enterprises and hyperscalers. Our mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence.
Responsibilities
- 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.
- Automate cluster lifecycle (operating systems, firmware, drivers, and networking) managed as code.
- Create runbooks and automated remediations for common cluster failure modes.
- Troubleshoot and resolve cluster issues across InfiniBand/RoCE, NCCL, GPU-direct, fabric, switching, and power.
- 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.
Requirements
- 7+ years of experience in Site Reliability Engineering, HPC Engineering, DevOps, or a similar role.
- Strong understanding of modern AI infrastructure, from GPU architectures to hardware performance optimization.
- Strong understanding of Linux-based systems in a distributed environment.
- 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).
- Excellent problem-solving and troubleshooting skills and an innate attention to detail.
- Passion for continuous improvement and innovation.
Skills
- Python
- Go
- Ansible
- Terraform
- Prometheus
- Grafana
- Clickhouse
- InfiniBand
- RoCE
- CLOS fabrics
- 100GbE
- Ethernet/switching
- GPU-direct
- NCCL
Location
- San Francisco
- Bellevue
Work Type
- Hybrid
Experience Level
- 7+ years of experience
Salary/Compensations
- 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.
Benefits
- 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
About the Company
- Founded in 2012, with 500+ employees, and growing fast.
- 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.
- 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
Equal Opportunity
- 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.