Why Nuclearn.aiNuclearn.ai builds AI-powered software for the nuclear and utility industriestools that keep critical infrastructure reliable, efficient, and safe. Our software integrates AI-driven workflow, documentation, and research automation, and is already used at 60+ nuclear reactors across North America. You'll ship production code operators and engineers rely on every day.
We're growing quickly, expanding our team and our Phoenix HQ. The work is consequential: what you build helps real plants run safer and smarter.
Eligibility: U.S. citizenship or permanent residency (green card) is required due to DOE export compliance.
What You'll Do- Triage and resolve production bugs surfaced through Sentry investigate root causes, write fixes, and ship patches across the stack
- Build and ship features on the product roadmap alongside senior engineers, contributing to major releases that reach 60+ nuclear reactors
- Write production code across the full stack React on the frontend, FastAPI on the backend
- Learn modern delivery practices including CI/CD pipelines, code review workflows, and how to ship reliable software fast in a regulated industry
Examples of problems you might own in your first 90 days- Independently triage and fix incoming Sentry bugs diagnose issues, scope the fix, and ship it to production
- Own a feature end-to-end from understanding the requirement, to writing the backend API in FastAPI and the frontend UI in React, through code review and deployment
- Participate in design discussions and code reviews collaborate with engineers on architectural decisions, surface trade-offs, and contribute best-practice recommendations to the team's standards
What Makes You a Great Fit- Pursuing a degree in Computer Science, Software Engineering, or a related field or you've built enough on your own that a transcript doesn't tell the whole story
- Proficiency in Python and/or JavaScript/TypeScript you've written real code, not just homework assignments, and you're comfortable picking up new frameworks quickly
- Strong independent problem-solving instincts when you hit a wall, your first move is to dig in, read the logs, and trace the root cause yourself before escalating
- A bias toward durable solutions over quick patches you don't just silence the alert, you ask why it fired and how to make sure it doesn't happen again
- You thrive in fast-paced environments ambiguity doesn't paralyze you, it energizes you. You'd rather ship and iterate than wait for a perfect spec
- Comfortable using AI tools you leverage AI to move faster, but you understand the underlying software architecture principles well enough to know when the output is right and when it's wrong
Nice To Have (not Required)- Experience building APIs with Python and FastAPI you've stood up endpoints, handled validation, and worked with async patterns before
- Familiarity with Docker and containerized environments you understand images, containers, and can debug a failing build without panic
- Experience integrating agentic AI models into a product you've gone beyond prompt-and-response to orchestrate models that complete complex, multi-step tasks autonomously
Impact You'll Have (near-term roadmap)- Strengthen platform reliability your bug fixes and troubleshooting directly resolve real customer pain points, making the product more robust for operators at 60+ reactors
- Ship features that customers actually use you'll see the code you write go live and watch real users interact with it, not sit in a backlog
- Improve reliability metrics across the platform fewer Sentry alerts, faster resolution times, and more stable releases as a direct result of your work
Compensation & BenefitsWork Model & Schedule- Part-time to full time, hourly internship
- In-office 4 days a week (Mon, Tue, Thu, Fri) at Phoenix HQ the company is remote on Wednesdays, but interns work a 4-day in-office schedule to maximize hands-on collaboration and learning until demonstrated self-sufficiency
How We Hire (fast, respectful, practical)- 20-min intro with the founder/hiring manager to trade context and assess mutual fit
- Practical work sample (6090 min; a real task in our stack)
