Lambda
San Francisco Office (Fremont St) · $297K – $440K / year · Full-time · Posted 22 hours ago
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, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
About the Role
Lambda Kubernetes Service (LKS) is an API-first Kubernetes platform for AI training and inference on Lambda infrastructure. We’re looking for an Engineering Manager to lead the team building its customer-facing platform capabilities: cluster runtime, system components, managed add-ons, and AI workload orchestration.
You’ll lead the engineering team and partner with the Hosted Control Plane team and Lambda’s Compute, Networking, Storage, IAM, Security, and Product teams. The goal is a reliable, extensible Kubernetes experience from a functional vanilla cluster to vetted capabilities such as GPU and network operators, and orchestration options such as Slurm through Slinky.
What You’ll Do
Build and lead the engineering team; hire strong engineers, develop technical leaders, and set a high bar for ownership and quality.
Define the technical strategy and roadmap for LKS platform capabilities and Kubernetes runtime.
Deliver a reliable baseline cluster experience using upstream, CNCF-conformant Kubernetes.
Own the integration and lifecycle of managed add-ons, including qualification, compatibility, releases, and customer choice.
Build Kubernetes capabilities for AI workloads, starting with Slurm through Slinky and evaluating options such as Volcano and LLMD as needs grow.
Partner with the Hosted Control Plane team on cluster lifecycle, upgrades, release readiness, and incident response.
Work across Lambda infrastructure and product teams to deliver secure, supportable integrations.
Communicate progress, risks, and customer impact clearly to leadership and partner teams.
You
Have 9+ years of software engineering experience, including 3+ years leading engineering teams.
Have built or operated Kubernetes platforms, managed Kubernetes services, or container infrastructure.
Bring strong technical judgment across Kubernetes, platform APIs, operators, and cluster lifecycle.
Can guide tradeoffs across extensibility, compatibility, security, reliability, and customer experience.
Build strong teams and work effectively across engineering, product, and infrastructure organizations.
Communicate clearly and turn ambiguous needs into pragmatic plans and results.
Hold a BS, MS, or PhD in Computer Science or a related field, or have equivalent practical experience.
Nice to Have
Experience with GPU operators, AI infrastructure, or GPU-aware Kubernetes.
Experience with Slurm, Slinky, Volcano, LLMD, Kueue, Ray, or similar orchestration systems.
Experience with Kubernetes networking, storage, upgrades, or managed add-on catalogs.
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
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.
Trust & safety
Help us review suspicious or misleading job posts. Your report goes directly to RemoteAI.
Thanks for flagging this. RemoteAI can review suspicious job posts and take action when needed.
Create a free profile to see your own match score for this role.
Use these topic pages to discover more roles in the same hiring cluster.
Skills
Nearby roles that share similar skills, categories, or hiring intent.
Software Engineer, Cloud Platform
Baseten
Senior Storage Engineer
Lambda
Research Scientist – Foundation Models and Multimodal AI
Owkin
Software Engineer - Data Center Tooling
Lambda
Senior Software Engineer
Lambda
Senior Technical Program Manager - AV Engineering
Wayve
Job Type
Full-time
Language
English
Salary Range
$297K – $440K / year
More roles at Lambda
See all open rolesDo you work at Lambda?
This listing was imported from Lambda's careers page. Claim it for free with your work email to receive applications here and see who applies.
Check your inbox. Click the link we sent to confirm and take over this listing.