Mainspring Energy
Senior Staff Mechanical Engineer
Menlo Park, CA · Staff+
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DOL prevailing wage, 2026-27 wage year · Mechanical Engineers (17-2141) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- Mainspring is seeking a Senior Staff Mechanical Engineer to shape technical direction across multiple teams, systems, or major program areas within our Linear Generator platform.
- This role is intended for engineers who have already demonstrated advanced technical ownership within a major subsystem, team, or technical area and are now ready to influence outcomes across a broader part of the organization.
Responsibilities
- Lead technical direction for a broad system, platform area, discipline, or group of related mechanical projects with high ambiguity, system-level tradeoffs, and major program impact.
- Guide architecture, system, subsystem, or platform-level design decisions that affect multiple projects or teams, balancing technical performance, reliability, cost, manufacturability, serviceability, scalability, and business priorities.
- Frame complex cross-functional problems at the right level, identify critical tradeoffs, and drive alignment on practical technical paths forward.
- Create technical leverage across teams through design reviews, risk reviews, architecture discussions, technical strategy, standards, methods, troubleshooting, and guidance on high-consequence decisions.
Requirements
- Strong system-level mechanical judgment, including the ability to balance performance, reliability, cost, manufacturability, serviceability, scalability, safety, schedule, integration, and business priorities.
- Demonstrated ability to resolve ambiguous, cross-functional technical problems where ownership, requirements, evidence, or tradeoffs are not initially clear.
- Strong communication and influence skills, including the ability to align stakeholders across teams and levels of the organization around technical strategy, risks, tradeoffs, and recommended paths forward.
- BS, MS, or PhD in Mechanical Engineering or a similar engineering field, with demonstrated success providing technical leadership across complex mechanical systems, subsystems, or major program areas.
- Repeated experience developing, validating, releasing, and improving complex hardware across multiple design cycles, project types, failure modes, and implementation environments.
- Proven ability to use analysis, testing, data, field learning, production learning, and engineering judgment to make or guide high-consequence technical decisions.
Nice to have
- Experience with reliability strategy, accelerated life testing, failure analysis, structured root cause analysis, design of experiments, risk-based validation planning, or system-level trade studies.
- Experience influencing major technical decisions across engineering, manufacturing, quality, supply chain, suppliers, service, product, or leadership stakeholders.
- Experience helping teams sequence work, reduce uncertainty, avoid rework, and focus on the highest-leverage technical problems.
- To help us evaluate your experience accurately, please ensure your resume includes:
- What you personally did, separate from what your team did.
- If you contributed to a group project, tell us your specific role and contribution.
- The engineering fundamentals you applied - tie your skills (CAD, FEA, GD&T, thermal/fluid analysis, testing, etc.) to the actual problem you used them on, rather than listing them as standalone skills.
- What happened as a result - did it pass validation/testing, resolve a failure, ship to production, and if so, at what volume or scale (prototype quantity, low-rate production, high-volume manufacturing)?
Compensation
- This compensation and benefits information is based on Mainspring Energy's estimate as of the date of publication and may be modified in the future.
This listing is sourced directly from Mainspring Energy's careers page and normalized into a canonical job model.