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.
*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
What You’ll Do
- Define Fleet Health metrics and indicators to objectively measure and improve system availability
- Collaborate with the observability team on comprehensive monitoring and alerting systems to proactively predict, detect and respond to issues or anomalies
- Create runbooks and automated remediations for common failure scenarios
- Build in automation and auditing to ensure compliance and improve efficiency and productivity
- Participate in on-call rotations and provide support for incident response and resolution
- Implement and integrate logging and metrics across platforms such as Datadog, Prometheus, OpenTelemetry, Grafana, SumoLogic, etc
You
- 7+ years of experience in Site Reliability 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
- 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, SumoLogic)
- Proficiency in automation and configuration management tools (e.g., Ansible, Terraform)
- Familiarity with cloud platforms (e.g., OCI, AWS, GCP, Azure)
- Excellent problem-solving and troubleshooting skills
- Strong communication and collaboration skills
- Passion for continuous improvement and innovation
Nice to Have
- Experience in the machine learning or computer hardware industry
- Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes)
- Experience building and/or operating HPC resources.
- 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
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.