We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be.
If you'd like to build the world's best deep learning cloud, join us.
*Note: This position requires presence in our San Francisco or Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Role Summary
Help define and deliver Lambda’s next-generation Identity and Access Management platform - powering secure, intuitive, and scalable access control for customers ranging from early-stage startups to the most superintelligent AI teams in the world.
You’ll design IAM systems that anticipate the needs of highly technical users who will stress-test every workflow, integration, and permission model. Your charter will be to lead the design and implementation of our IAM vision: Workspaces, enterprise-grade RBAC, MFA enhancements, and a unified identity platform across all Lambda products and services.
What You’ll Do
Design and build intuitive, beautiful web interfaces for ML/AI cloud users
Integrate top-tier tooling, workflows, and models from the AI space
Own features end-to-end—from design to deployment to monitoring
You (Must-Haves)
8+ years of backend or platform engineering experience, with 3+ years leading IAM or authentication/authorization initiatives.
Deep expertise in modern IAM patterns and technologies:
Authentication (OIDC, OAuth2, SAML)
Authorization (RBAC, ABAC, fine-grained permissions)
MFA and advanced authentication factors
SCIM and identity lifecycle management
Experience integrating and customizing third-party identity platforms (e.g., Auth0, Okta, WorkOS) at scale.
Strong architecture and systems design skills for distributed, multi-tenant SaaS environments.
Proven track record of delivering IAM features in security-sensitive, high-uptime environments.
Solid programming experience in Python, Go, or similar languages, plus comfort with IaC (Terraform, Atlantis, Crossplane).
Nice-to-Haves
Experience designing IAM systems for ML/AI or cloud infrastructure products.
Hands-on experience with enterprise onboarding flows.
Prior work on multi-cloud or hybrid identity solutions (AWS, GCP, Azure).
Contributions to IAM standards or open-source identity projects.
Leadership or mentorship experience
Strong academic background (EECS, Math, Software Engineering, Physics)
Salary Range
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.
Final Note
You don’t need to meet all qualifications to apply. Lambda values a variety of backgrounds, experiences, and skills.
About Lambda
Founded in 2012, ~400 employees (2025) 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.
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