Lambda
Lead / Staff Full-Stack Software Engineer - Console Experience
San Francisco Office (Fremont St) · Staff+
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About the role
- This is a high-impact individual-contributor role for an engineer who combines product judgment with technical depth.
- Level and scope will be determined by a candidate's experience and demonstrated impact.
Responsibilities
- Design, build, and operate end-to-end product experiences across our React and TypeScript frontend, APIs, and supporting backend services
- Own major console initiatives from early discovery and technical design through implementation, rollout, measurement, and iteration
- Translate complex cloud concepts-including compute lifecycle, networking, identity, governance, support, usage, and billing-into intuitive customer workflows
- Partner closely with Product and Design to clarify requirements, explore tradeoffs, and shape solutions that balance customer value with technical sustainability
- Collaborate with our API Experience, Billing, Platform and Support teams to deliver cohesive features spanning multiple systems
- Raise the engineering bar through thoughtful design reviews, code reviews, documentation, testing, and operational ownership
- Identify recurring friction in the product and codebase, then lead durable improvements rather than isolated fixes
- Mentor engineers and help teammates develop stronger product, architecture, and execution skills
- At the Lead Engineer level, you will typically:
- Own the technical delivery of significant, ambiguous product areas
Nice to have
- Familiarity with GPU infrastructure, Kubernetes, networking, identity and access management, or cloud control planes
- Delivered meaningful improvements to core customer workflows in Lambda's cloud console
- Established clear technical ownership of one or more important product areas
- Improved the architecture, quality, and operating practices of the systems you touched
- Raised the effectiveness of the Console Experience team through technical leadership, mentoring, and sound judgment
- What Success Looks Like
- Within your first year, you will have:
- 401k Plan with 2% company match (USA employees)
Skills
- Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence.
- One person, one GPU.
- Note: This position requires presence in our San Francisco office four days per week.
- Lambda's designated work-from-home day is currently Tuesday.
Compensation
- 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.
- We offer generous cash & equity compensation
Benefits
- We have research papers accepted at 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
- Flexible paid time off plan that we all actually use
Company info
- 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.
- We are open to hiring at the Lead or Staff level. Level and scope will be determined by a candidate's experience and demonstrated impact.
- We are open to hiring at the Lead or Staff level.
Equal opportunity
- 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.
Visa & Work Authorization
- ational 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
This listing is sourced directly from Lambda's careers page and normalized into a canonical job model.