The board
- Where
- Reno, Nevada, United States
- Posted
- Sep 17
Company Overview
Amperesand is reinventing how the world powers its most critical systems.
We are facing a once-in-a-generation opportunity for infrastructure disruption. Electricity demand is skyrocketing, driven by AI factories, electric vehicles, and modern industrial growth. Energy supply is shifting to incorporate a more diverse mix of resources – including solar, gas, and batteries – at a massive scale.
And yet the power infrastructure behind our latest mega-projects hasn’t meaningfully changed in nearly 100 years. Supply chains for today’s infrastructure equipment can’t match the pace and sophistication of critical energy projects.
What you'd do
- Build and support full stack features for our internal ERP and manufacturing operations platform, spanning Go backend services and TypeScript/React frontend applications.
- Help design and implement new AI-enabled features that improve how internal and external stakeholders interact with the platform.
- Support observability and metrics efforts, including instrumenting services, building dashboards, and improving system visibility.
- Improve CI/CD pipelines and automated testing to increase release speed and reliability.
- Collaborate with backend, frontend, and product teams to define APIs and data contracts.
- Assist in troubleshooting and resolving issues raised by internal and external users of the ERP and manufacturing ecosystem.
- Write clean, well-tested, maintainable code and participate in code review.
- Document features, architectural decisions, and processes for cross-functional stakeholders.
- Bring a customer-oriented, team-first mindset to a fast-paced startup environment.
What they want
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- Experience with Go for backend development (coursework, personal projects, or prior internship experience).
- Experience with TypeScript and React, including component-based development and state management.
- Exposure to AI/LLM concepts or hands-on experience with model training, fine-tuning, or applied AI tooling.
- Basic understanding of REST APIs and client-server architecture.
- Familiarity with Git and collaborative development workflows.
- Strong communication skills and comfort working with both technical and non-technical stakeholders.
- Self-motivated, team-oriented, and comfortable working in a fast-paced, ambiguous startup environment.
- Available to work on-site.
- Experience with observability or metrics tooling (e.g., Prometheus, Grafana, OpenTelemetry).