Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide.
If you'd like to build the world's best deep learning 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
Deploy and operate observability platforms for logging, metrics, and distributed tracing.
Automate the deployment and operation of these observability systems.
Set up monitoring for modern AI/HPC clusters.
Develop platform software to make observability adoptable and improve system reliability across Lambda engineering.
Lead members of other engineering teams to design and develop solutions for their monitoring challenges.
You
Have 8+ years of experience in software engineering, with 3+ years in Go
Have 5+ years of experience in Site Reliability Engineering practices
Possess proven understanding of Observability tools and practices
Have experience with application deployment and monitoring using Kubernetes
Have experience building CI/CD pipelines
Expect quality and reliability from the solutions you build
Enjoy collaborating across team boundaries to help our engineering teams meet their observability needs.
Nice to Have
Experience monitoring AI systems or HPC clusters
Experience with Prometheus and writing queries in PromQL
Experience with messaging systems like NATS
Understanding of the OpenTelemetry ecosystem and experience with both OTel instrumentation and the OTel collector
Experience with network monitoring, Ethernet and Infiniband
Understanding of dashboard design principles
Strong understanding of Linux fundamentals and system administration.
Experience with infrastructure automation tooling such as Ansible and Terraform
Salary Range Information
Based on market data and other factors, the annual salary range for this position is $267K-$401K. 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, ~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
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.