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Salary
$109k – $123k per year
Location
In office (Menlo Park)
Seniority
Junior · 2+ years exp
Visa
H-1B filings in 12 months: 22 · for this role: 1 · green card filings: 5

Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Jun 17, 2026. Mainspring Energy scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Mainspring Energy is a power generation company that develops and builds linear generators, which convert natural gas, biogas, hydrogen and other fuels into electricity through a low-temperature reaction instead of combustion. Founded in 2010 by Stanford engineers Shannon Miller, Adam Simpson and Matt Svrcek, it sells onsite generators to commercial, industrial and utility customers for resilient, lower-emission power. The company is headquartered in Menlo Park, California, United States.

Job Overview

The Linear Generator is a sophisticated, automated, and integrated system spanning a wide range of engineering disciplines including thermodynamics, mechanical, electrical, software, and controls. As a member of our Fleet Operations & Analytics Team, you will be part of a dynamic group that delivers the best product and experience that Mainspring Energy has to offer. This includes operation and monitoring of our fleet of Linear Generators (LGens), debugging issues, management of incident resolution and advanced data analysis aimed at improving our product and communicating on our fleet performance.

This is a highly cross-functional role in a rapidly-scaling company function, and there is an enormous opportunity to influence how this work is done now and into the future. The breadth of this role is perfect for an engineer who wants to use their advanced analytical and technical skills in a fast-paced and challenging environment. We are looking for an ambitious and curious individual excited to work at the interface of operations, systems engineering, and analytics.

Responsibilities

  • Manage daily operations of Mainspring Energy’s growing Linear Generator fleet, including remote operation, troubleshooting, and incident resolution
  • Contribute to a cross-functional team that designs, implements, and uses a real-time monitoring and communication platform
  • Provide high-quality analytics on fleet availability, performance, and connectivity to Service, Engineering, and Sales teams
  • Report on NERC compliance metrics and ensure ongoing adherence to regulatory requirements
  • Identify and communicate major opportunities for performance and reliability improvements
  • Track and document operational issues along with their root causes and resolutions
  • Generate accurate, detailed data reports for customers and regulatory agencies
  • Improve automation and reporting workflows by developing and deploying internal tools
  • Coordinate with the Operations & Maintenance team to plan and execute scheduled and reactive service events
  • Collaborate across functions, gaining exposure to quality assurance, reliability engineering, product validation, test engineering, and software development
  • Support team growth by helping to identify, onboard, and train new team members in a rapidly scaling organization

Qualifications

    • Bachelor’s degree in an engineering discipline, preferably in Mechanical or Electrical Engineering
    • Demonstrated ability to build and maintain highly disciplined operations and training processes, including methodical workflow documentation, clear hand-off communication, and detailed incident reporting/analysis
    • Strong organizational skills and demonstrated ability to effectively manage multiple priorities at once
    • Strong engineering fundamentals and experience applying these concepts to large-scale physical systems
    • Previous experience with system-level engineering analysis and troubleshooting, understanding how mechanical, electrical, controls, and software components interact across a broader system
    • Demonstrated ability to resolve complex troubleshooting problems and independently make right decisions under high pressure situations, employing clear and methodical communication and documentation
    • Experience with engineering data analysis, including time-series data and dashboard development using cloud-based or industry-standard tools
    • Demonstrated interest and ability in development of automated software tools and processes (Python preferred)
    • Role requires full-time presence at our Menlo Park headquarters
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