Senior Software Engineer - IAM at Lambda

San Francisco, California, United States

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$230,000 – $395,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Machine Learning, Cloud ComputingIndustries

Requirements

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)

Responsibilities

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
Help define and deliver Lambda’s next-generation Identity and Access Management platform
Design IAM systems that anticipate the needs of highly technical users, including Workspaces, enterprise-grade RBAC, MFA enhancements, and a unified identity platform across all Lambda products and services
Lead the design and implementation of the IAM vision

Skills

Key technologies and capabilities for this role

OIDCOAuth2SAMLRBACABACMFASCIMAuth0OktaWorkOS

Questions & Answers

Common questions about this position

What is the salary range for this Senior Software Engineer role?

The salary range is $230K - $395K, based on market data and other factors, with potential for higher or lower depending on qualifications.

Is this position remote or hybrid, and what are the office requirements?

This is a hybrid role requiring presence in the San Francisco or Seattle office 4 days per week, with Tuesday designated as the work-from-home day.

What skills and experience are required for this IAM engineer position?

Candidates need 8+ years of backend or platform engineering experience, with 3+ years leading IAM or auth initiatives, deep expertise in modern IAM patterns like OIDC, OAuth2, SAML, RBAC, ABAC, MFA, SCIM, experience with third-party platforms like Auth0 or Okta, strong systems design skills, and programming in Python, Go, or similar plus IaC tools.

What is the company culture like at Lambda?

Lambda focuses on working with the smartest minds on superintelligence, building the best deep learning cloud, moving fast on massive AI deployments, and tackling hard problems with people who love action.

What makes a strong candidate for this role, and do I need to meet all qualifications?

Strong candidates have the must-have experience in IAM leadership and technologies, with nice-to-haves like ML/AI IAM design, enterprise flows, multi-cloud solutions, open-source contributions, leadership, or strong academics; you don’t need to meet all qualifications to apply.

Lambda

Cloud-based GPU services for AI training

About Lambda

Lambda Labs provides cloud-based services for artificial intelligence (AI) training and inference, focusing on large language models and generative AI. Their main product, the AI Developer Cloud, utilizes NVIDIA's GH200 Grace Hopper™ Superchip to deliver efficient and cost-effective GPU resources. Customers can access on-demand and reserved cloud GPUs, which are essential for processing large datasets quickly, with pricing starting at $1.99 per hour for NVIDIA H100 instances. Lambda Labs serves AI developers and companies needing extensive GPU deployments, offering competitive pricing and infrastructure ownership options through their Lambda Echelon service. Additionally, they provide Lambda Stack, a software solution that simplifies the installation and management of AI-related tools for over 50,000 machine learning teams. The goal of Lambda Labs is to support AI development by providing accessible and efficient cloud GPU services.

San Jose, CaliforniaHeadquarters

2012Year Founded

$372.6MTotal Funding

DEBTCompany Stage

AI & Machine LearningIndustries

201-500Employees

Risks

Nebius' holistic cloud platform challenges Lambda's market share in AI infrastructure.

AWS's 896-core instance may draw customers seeking high-performance cloud solutions.

Existential crisis in Hermes 3 model raises concerns about Lambda's AI model reliability.

Differentiation

Lambda offers cost-effective Inference API for AI model deployment without infrastructure maintenance.

Nvidia HGX H100 and Quantum-2 InfiniBand Clusters enhance Lambda's AI model training capabilities.

Lambda's Hermes 3 collaboration showcases advanced AI model development expertise.

Upsides

Inference API launch attracts enterprises seeking low-cost AI deployment solutions.

Nvidia HGX H100 clusters provide competitive edge in high-performance AI computing.

Strong AI cloud service growth indicates rising demand for Lambda's GPU offerings.

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