Priority Location: LatAm, South Africa, Philippines (General search)
Working Hours: Monday-Friday, 9:00am- 5:00pm US Pacific Time
Target Start Date: September 2026
The final offer is at the client’s discretion and will depend on the candidate’s interview result, skills, and experience.
About the Company:
A startup founded by Stanford graduate students to accelerate the interconnection of new generation and large loads to the US grid. We are building a platform that shows developers how different interconnection queue scenarios affect their projects.
Key Responsibilities:
- Build Python-based automation on top of power systems engineering software APIs
- Develop workflows to run and manage large volumes of study scenarios efficiently
- Create a simple internal UI for the team to interact with study tools and results
- Support the development of a cleaner, more customer-facing interface if needed
- Build tools that help analyze study outputs and assist with network upgrade hypotheses
- Explore and implement agentic / LLM-based copilot workflows to assist with study review and decision-making
- Work closely with the power systems engineer to translate domain logic into software
- Improve internal engineering workflows through automation, tooling, and process optimization
- Help design scalable systems that can support both internal operations and future client-facing needs
Qualifications & Skills:
- 3+ years of professional software engineering experience
- Strong proficiency in Python
- Experience building automation around APIs and internal tools
- Familiarity with or ability to quickly learn Python APIs for engineering/technical software
- Experience building internal web tools / simple internal UIs
- Comfortable working on production-quality workflows and scalable automation
- Interest in building agentic / LLM-based copilots is a plus
- Strong problem-solving skills and ability to work closely with a domain expert
- Able to collabora