In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity.
If you'd like to build the world's best deep learning cloud, join us.
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.)
About Lambda
Founded in 2012, ~350 employees (2024) and growing fast
We offer generous cash & equity compensation
Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.
We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Health, dental, and vision coverage for you and your dependents
Commuter/Work from home 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.
