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.
*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.
What You’ll Do:
Create and integrate tooling to enable the delivery of products and services
Use best practices to add and enhance monitoring and logging platforms (e.g., Prometheus, Grafana, Datadog).
Develop and maintain custom dashboards, alerts, and metrics to proactively monitor storage performance, capacity, and failures.
Automate ticketing.
Implement CI/CD pipelines in Github or BuildKite for Storage components.
Work with Storage Engineers, Fleet Orchestration, and Release Engineering to automate the deployment and configuration of Software Defined Storage.
You Have:
5+ years of experience in Linux or HPC Environments
5+ years of experience in Monitoring and Logging, such as:
Alertmanager, Grafana, Prometheus, DataDog or SumoLogic
Built monitoring dashboards for multiple audiences
Built and designed alert and pager routing
5+ years of experience in Kubernetes:
ArgoCD and other deployment technologies
Helm or Kustomize
Expert in Kubernetes troubleshooting
5+ in the following technologies:
CI/CD Technologies such as Jenkins, Github Actions, or BuildKite
Docker/Podman and/or other Container Technology
Systems programming in Python or Golang
5+ years of experience in Infrastructure as Code (e.g. Terraform, Ansible)
Proficient in either Python and/or GoLang
Nice to Have
Understanding of Storage and Software defined Storage, such as Ceph, BeeGFS, Gluster, GFS, etc.
Worked with, or wrote, Kubernetes CSI drivers
Have worked in an HPC Environment
Worked in, or with, SRIOV and Virtualization (KVM/Qemu)
Experience in GPUDirect, RDMA, InfiniBand or ROCE Networking
Salary Range Information
Based on market data and other factors, the annual salary range for this position is $255,000-$405,000. 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
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.
