Location
San Francisco United States
San Francisco United States
Salary
(Yearly)
(Yearly)
(Yearly)
(Yearly)
(Yearly)
Salary information is not provided for this position.
Undisclosed
0
USD
225000
-
445000
Category
Software Engineer
Date posted
July 23, 2025
Job type
Full-time
Experience level
Mid level

Job Description

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.

Role Summary

Help build the world’s best deep learning cloud by delivering frontend and backend systems that power Lambda's ML and AI platform.

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)

Frontend Experience (6+ years)

  • Responsive web apps using:

    • TypeScript

    • React (or equivalent experience in Vue or Svelte)

    • HTML and modern CSS

    • Vite

Backend Experience (8+ years)

  • Business-critical services using:

    • Python, Unix/Command line

    • Django or FastAPI

    • Relational databases like PostgreSQL or MySQL

Additional Core Experience

  • CI/CD: Automation around testing and deployment

  • Reliability & Observability: Logging, alerting, and building highly available systems

  • Cloud Native Services: AWS, Okta, Cloudflare, etc.

Nice-to-Haves

  • Experience with Kubernetes

  • Infrastructure as Code (Terraform, Atlantis, Crossplane, etc.)

  • Event-based or serverless tech (e.g., AWS Lambda, Kinesis)

  • Experience in ML, AI, or data science

  • Application security and web hardening

  • Leadership or mentorship experience

  • Strong academic background (EECS, Math, Software Engineering, Physics)

Salary Range

The annual salary range for this position is $225,000-$445,000, with flexibility based on experience and qualifications.

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.

Companies size
501-1000
employees
Founded in
2012
Headquaters
San Francisco, CA, United States
Country
United States
Industry
Software Development
Social media
Visit website

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