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 founding member of our 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 foundational role in a newly developing 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.
Requirements
BS in engineering discipline
Demonstrated ability to resolve complex troubleshooting problems and independently make right decisions under high pressure situations
Previous experience with an appetite for systems engineering (electro-mechanical, mechatronics, energy systems)
Experience with data engineering or data analytics e.g., time-series data, cloud tools, dashboards, industry standard tools, or custom tools of your own
Demonstrated interest and ability in development of automated software tools and processes (Python preferred)
Demonstrated ability to build and maintain highly disciplined operations and training processes
Benefits
pre-IPO stock options
benefits
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata analyticstroubleshootingautomated software developmentPythonsystems engineeringelectro-mechanical systemsmechatronicsenergy systemsadvanced data analysis