Software Engineer - Fleet

Benefits

Parental leave

Not verified

Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 7, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

Equity

Offered From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Software Engineer - Fleet San Francisco Office (Fremont St), San Francisco, California, United States, San Jose Office (Zanker), Bellevue, WA 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. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda cloud console, APIs, and systems, as well as internal tooling for system deployment, management, and maintenance. What You'll Do - Develop and Maintain Production Systems : Design, implement, and improve software that powers GPU fleet lifecycle management and machine configuration at scale. - Automate Infrastructure : Build and enhance automation frameworks for machine provisioning, configuration management, and deployment. - Support New Hardware Introduction (NPI): Enable bring-up, validation, and production readiness for new server and accelerator platforms. - Enhance Machine Lifecycle Processes : Improve and refine workflows for bare metal provisioning, firmware updates, and system health monitoring. - Debug Hardware and Firmware Issues: Investigate failures across BIOS, BMC, firmware, networking, storage, and boot flows. - Collaborate Across Teams : Work closely with infrastructure, security, and product engineering

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