The posting
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. Amperesand is building hardware and software that rewrites this broken power infrastructure playbook to support a new era of energy abundance.
We’ve built a new class of intelligent, software-defined power infrastructure products leveraging a decade of advanced medium voltage Solid State Transformer research that’s now ready for commercial deployment.
Our products and solutions go far beyond the capabilities of traditional electrical equipment. We make power systems that are faster to deploy, dramatically smaller and more efficient, and capable of supporting modern, dynamic energy needs for tomorrow’s most demanding energy consumers.
Scalable in-house advanced manufacturing capability is our foundation for meeting timeline and quality expectation to serve infrastructure customers around the world.
Amperesand is led by breakthrough energy hardware development veterans and funded by top tier investors who share our vision of building a category-defining energy technology company.
With hubs in San Francisco, Reno, and Singapore, our global team is laser focused on building foundational technology to solve the most pressing problems in power infrastructure at scale.
Join us in building the power foundation of the future!
Role Summary
This internship is an opportunity to work hands-on with a startup engineering team building the ERP and manufacturing platform that powers Amperesand's operations. You will contribute across both frontend and backend, helping ship new features, improve reliability, and bring AI-enabled capabilities into our internal tools. AI shows up in this internship in two ways: the AI features you help build into the product, and the AI tools you build with — we expect interns to work fluently with AI coding assistants such as Cursor and Claude, and to look for places where agentic AI can automate engineering work like CI/CD, testing, and code review.
You will work closely with engineers, product owners, and internal and external stakeholders who rely on our proprietary ERP and manufacturing ecosystem every day. This is a fast-paced, goal-oriented environment where you'll be expected to take ownership of real, production-facing work.
Responsibilities
- 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 AI-enabled features that improve how internal and external stakeholders interact with the platform — such as natural-language search over company knowledge, document summarization, and data extraction from forms, invoices, and work orders.
- Implement the supporting pieces behind those features: retrieval and embedding pipelines, integrations with LLM provider APIs, prompt templates, and the frontend patterns that present AI output clearly and honestly to users.
- Use AI-assisted development tools such as Cursor or Claude in the IDE as part of your daily workflow to increase your velocity and code quality.
- 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.
- Automate CI/CD and developer-workflow efforts through agentic AI — for example agents that triage failing builds, generate and maintain tests, review pull requests, or handle routine release and deployment tasks.
- 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.
Qualifications
- 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 and some hands-on experience with applied AI tooling — for example calling LLM APIs, retrieval-augmented search, prompting, or building small AI-powered features.
- Comfortable using AI coding tools such as Cursor, Claude, or Copilot directly in the IDE to write, review, refactor, and test code — and curious about pushing those tools further.
- 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 at our Reno, Nevada, or Bay Area, USA office 5 days/week.
- The ideal internship engagement/attachment period for this role would be for at least 1 year.
Bonus Qualifications
- Experience with observability or metrics tooling (e.g., Prometheus, Grafana, OpenTelemetry).
- Experience with CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI).
- Exposure to ERP, MES, or other manufacturing/industrial software systems.
- Experience with automated testing frameworks (unit, integration, or end-to-end).
- Prior internship or project experience supporting customers or external stakeholders.
- Interest or coursework in energy systems, power electronics, or industrial automation.
- Open-source contributions or personal projects demonstrating full stack ability.
- Experience with AWS (e.g., EC2, S3, Lambda, RDS, or similar cloud services).
- Experience building LLM or AI-powered application features such as semantic search, retrieval-augmented generation, summarization, or assistant-style workflows.
- Familiarity with embeddings and vector search tools such as pgvector, Qdrant, Pinecone, or similar.
- Exposure to prompt engineering, function and tool calling, or evaluating the quality of AI-generated output.
- Experience using AI agents to automate engineering workflows such as testing, code review, build triage, or deployment pipelines.
Please note: This role requires working on-site. We do not offer hybrid or remote options for this internship.
Onsite Collaboration Rationale: Given the highly collaborative and cross-functional nature of hardware, embedded systems, and product development, in-person partnership across engineering and product teams is critical to enabling rapid execution, technical alignment, and successful development outcomes.
Pay Disclosure & Benefits
Compensation will be determined based on experience, location, and other factors permitted by law.
This internship is intended to provide meaningful, hands-on engineering experience and mentorship as part of Amperesand's engineering team.
Candidate Confidentiality & Information Protection
As part of our commitment to protecting confidential and proprietary information, candidates should not disclose or provide Amperesand with any confidential, proprietary, or trade secret information belonging to a current or former employer or any other third party during the application or interview process.
Please do not submit or present employer-owned source code, schematics, designs, technical documentation, internal presentations, customer information, prototypes, or other confidential materials. Candidates should discuss their experience and accomplishments at an appropriate level and use only information and materials they are authorized to share.
Equal Employment Opportunity
Amperesand is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.
Amperesand is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
