Nuclearn.ai builds AI-powered software for the nuclear and utility industries—tools 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
- 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
- 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
- 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
- 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 & Benefits
- Hourly: $25 - $35
Work 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 (60–90 min; a real task in our stack)
What We Do
With over 60 reactors around the world relying on our technology, Nuclearn is built on one simple idea: nuclear deserves better tools. Our team—made up of nuclear professionals and engineers—set out to modernize the industry by applying AI to some of its most critical, and often outdated, processes. “We saw this massive gap,” said Bradley Fox, CEO and co-founder. “You’ve got the tech to split atoms, but a lot of the supporting work is still done with decades-old systems. We knew AI could help streamline that complexity—making things safer, faster, and more efficient. It’s a win for the plants, and for the future of clean energy.” Jerrold Vincent, our CFO and co-founder, adds: “Back in 2016, we recognized the potential for AI to support nuclear—not just in cutting costs, but in preparing the next generation of workers. That’s why we started Nuclearn. We believe AI is one of the best tools we have to keep nuclear strong for the long haul.” The software we’ve built isn’t generic. It’s nuclear-specific, pre-trained, and ready to go—designed by people who’ve lived the process and know exactly what this industry needs.
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