Fleet Operations & Analytics Engineer

Job Description

Job Description

About Mainspring

Mainspring Energy manufactures and delivers fuel-flexible, low-emissions local power solutions that rapidly add new capacity and deliver reliable, affordable, and sustainable electric power. The company began commercial shipments of its Mainspring Linear Generators in 2020 and today has hundreds of megawatts in advanced development and field operations for leading Fortune 500 companies, data centers, and utilities. Mainspring also partners with global energy leaders including AEP, NextEra Energy Resources, Schneider Electric, and more.

The core values that ground our work, guide our decisions, and connect us together:

• Pragmatic Optimism
• Excellence without Ego
• Proactive Collaboration

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 Mechanical Engineering, Electrical Engineering, or a related engineering discipline, with 2–5 years of relevant engineering experience.
• 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

This position is onsite at our Menlo Park HQ . The salary will be adjusted to reflect local market conditions based on employee location as well as the experience of the employee. Along with base salary, Mainspring offers pre-IPO company equity through Restricted Stock Units (RSUs) + benefits.

Does your experience not meet all of our posted requirements? Studies have shown that some people are less likely to apply to positions unless they meet every listed requirement. At Mainspring, we are committed to building a diverse, inclusive, flexible, and collaborative environment, so if you want to help us transition the world to clean and affordable electricity, and don’t meet all posted requirements for a particular role, we’d still love to hear from you. Mainspring can sometimes be flexible enough to shift responsibilities for the right person, or otherwise identify open or upcoming roles that may better fit your professional background.

In more traditional words, Mainspring Energy, Inc is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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. We generally do not negotiate on salary once we have made an offer. The level of pay within the range will depend on a variety of job-related factors that may include location, relevant prior experience and/or education, or particular skills and expertise. New hires joining the company tend to be paid within the starting base pay range noted above, with opportunities to increase pay over time based on development of additional skills, competencies, and company-specific knowledge.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.