HPC Operations Engineer

Benefits

Parental leave

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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)

$61,842 U.S. median for this role

Projected growth (BLS Employment Projections)

+1.9% - Slower

Matched to SOC 11-1021 - Operations aggregate by role bucket.

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

Role

Role function

Operations 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

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

HPC Operations Engineer 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/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 website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. What You'll Do - Remotely deploy and configure large-scale HPC clusters for AI workloads (up to many thousands of nodes) - Remotely install and configure operating systems, firmware, software, and networking on HPC clusters both manually and using automation tools - Troubleshoot and resolve HPC cluster issues working closely with physical deployment teams on-site - Provide clear and detailed requirements back to other engineering teams on gaps and improvement areas, specifically in the areas of simplification, stability, and operational efficiency - Contribute to the creation of and maintenance of Standard Operating Procedures - Provide regular and well-communicated updates to project leads throughout each deployment - Mentor and assist less experienced team members -

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