Nuclearn.ai is hiring a Software Engineer Intern (AI-focused) in Phoenix, offering $25–$35/hour for candidates eager to work on real-world, production-grade systems. This is not a typical “learning-only” internship—you’ll actively ship code used across 60+ nuclear reactors, contributing to mission-critical AI-driven platforms that improve safety, reliability, and operational efficiency in the energy sector.
AI-powered workflows, automation, production systems
Job Description
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
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
Selection Process
For the Nuclearn.ai Internship, the process is straightforward:
Resume Shortlisting
Based on projects and skills (Python, JS, APIs)
Technical Round
Small coding / debugging tasks
Basic backend or frontend work
Practical Task
Build or fix a feature
Show you can write working code
Final Interview
Talk with team/founder
Focus on problem-solving and thinking
How To Apply
To apply for the Nuclearn.ai Software Engineer Internship (AI), follow these steps:
P.S. Karthik is the Chief Editor of Studentscircles. With over 12 years of experience in the educational news industry, he specializes in bridging the gap between campus life and the professional world. Having helped thousands of students navigate the US job market, Karthik’s mission is to turn complex academic news into actionable career opportunities.
