Monterra

Electrical Engineer - Power & EV Infrastructure

United States

Sponsorship not specifiedDetected 81 days ago

Product ManagementProduct StrategyElectrical EngineeringCommunicationBIM

About the role

In this role, your time will be split between:
You'll also be a core contributor to our product roadmap, helping inform the various tedious workflows that slow you down day-to-day.

Collaborate directly with clients to understand requirements and iterate on designs based on feedback.
Develop standardized templates, symbol libraries, and drawing conventions that become the foundation of our automated output.
Maintain a structured correction log - every issue you find gets documented with root cause, code reference, and AHJ context so it feeds back into the system.
Develop playbooks for the AI engineering assistant for different types of projects - e.g., review checklists and quality standards for different project types and jurisdictions.
Produce and deliver permit-ready drawing packages to clients - SLDs, panel schedules, load calculations, site plans - the same work you'd do at a traditional engineering firm.
Document the logic, rules, and judgement calls that go into every decision, working directly with our product & engineering team as the subject matter expert.
3+ years of electrical design experience, with demonstrated experience producing permit-ready drawing packages (site plans, SLDs, panel schedules, load calculations).

You've drafted plenty of drawing sets, you know what plan checkers look for, and you can size a service entrance in your sleep.
Deep working knowledge of NEC and experience navigating AHJ-specific requirements.
Experience with EV charging infrastructure design (DCFC and/or L2 installations, utility interconnection, load management, light civil & structural design).
Strong verbal and written communication skills: ability to articulate engineering rules to teammates who are not experts in your area of expertise.
Comfort & natural knack for toggling between 80/20 & scrappy vs. detail-oriented & perfectionist depending on context.
Work closely with the supervising PE - surfacing questions early and developing all work under their direct supervision, as required for stamping.

Comfort working with AI tools - not because you'll be coding, but because you'll be collaborating with AI systems daily.

Proficient with CAD and BIM tools.
ability to articulate engineering rules to teammates who are not experts in your area of expertise.
Bachelor's degree in Electrical Engineering (or related field)
Competitive salary commensurate with experience.
Benefits including but not limited to: health, vision, dental insurance, commuter benefits, unlimited PTO, and more.
Learn more about the company here https://monterra.ai/about.
Most engineering roles are about cranking out drawings at volume.
This one is different.
Monterra is expanding our business to stand up an AI-native engineering services company.

Competitive salary commensurate with experience.
Remote-first; occasional travel for customer site visits and team gatherings.
Monterra is backed by reputable VC and Angel investors, including Urban Innovation Fund https://www.urbaninnovationfund.com, Base10 Partners https://base10.vc, Very Serious Ventures https://www.veryseriousventures.com, and more.
Learn more about the company here https://monterra.ai/about.

Meaningful early-stage equity - this is the first electrical engineer on the team in a team of <10, not employee #50.

Monterra is backed by reputable VC and Angel investors, including Urban Innovation Fund https://www.urbaninnovationfund.com, Base10 Partners https://base10.vc, Very Serious Ventures https://www.veryseriousventures.com, and more.
Produce drawing packages for customers, starting with EV charging projects - site plans, SLDs, panel schedules, load calculations.
Provide feedback and perform QC on the AI engineering assistant - by validating output, testing tools as part of your drawing production workflow, and more.

This listing is sourced directly from Monterra's careers page and normalized into a canonical job model.