Platform & AI Pre-Engineer

The Nuclear Company•Washington, DC

15h•Remote

About The Position

The Nuclear Company is the fastest growing AI tech-enabled startup in the nuclear and energy space, pioneering a fleet-scale approach to building the next generation of nuclear reactors. Through our design-once, build-many model, we're accelerating the deployment of safe, reliable, and affordable nuclear energy. We operate with an AI-first mindset. Every employee is expected to leverage AI, technology, and the Nuclear Operating System (NOS) as integral components of their role to improve the quality, speed, and impact of their work. We expect every team member to continuously identify opportunities to automate workflows, enhance decision-making, improve processes, and contribute to the ongoing evolution of NOS as a strategic operating capability that enables The Nuclear Company to scale with excellence. We hire people who are driven by purpose, thrive in ambiguity, and are energized by building what has never been built before. Our team combines intellectual curiosity with high agency, embraces candid feedback and continuous learning, and holds themselves and others to exceptional standards. Our values—Transparency, Responsibility, Unity, Scrappiness, and Tenacity—guide how we hire, collaborate, and make decisions every day. They are not words on a wall; they are the standard by which we operate. TRUST is the foundation of our safety culture, fostering intellectual honesty, accountability, and open communication, while our values challenge every team member to execute with urgency, humility, resilience, and an unwavering commitment to our mission. About the role The Nuclear Company is hiring a part-time NOS Platform Intern (10 hours per week during the academic year) to help deliver AI models and build AI/ML products on NOS. NOS is the software platform behind one of the largest nuclear buildouts in the United States. The role is remote and designed to fit around a full course load; academic performance comes first, and the schedule flexes around exams and coursework. This is a hands-on internship reporting to the Senior Director, NOS. You will identify use cases for AI deployments across the platform, help train and deliver AI models against the highest-value ones, and turn what works into products TNC can use internally and offer commercially. You will also advise on hardware options for TNC. You will work with TNC team members and nuclear industry domain experts to keep the solutions relevant to how plants are actually designed, built, and run.

Requirements

Currently enrolled in a Bachelor's or Master's program in Computer Science, Computer Engineering, Electrical Engineering, Data Science, Mathematics, Physics, or a related technical field.
Working knowledge of at least one programming language, preferably Python.
Genuine interest in building AI/ML models and products, GPUs, and platform or hardware deployment.
Able to learn quickly, work independently on a defined scope, and ask for help when stuck.
Able to commit about 10 hours per week remotely during the academic year while keeping up with a full course load, and to flag early when exams or coursework need the time.
Clear written and verbal communication, including the ability to document work so others can follow it.
Authorized to work in the United States. This role supports critical infrastructure and may involve security and export-control requirements.

Nice To Haves

Exposure to Palantir Foundry or AIP through coursework, projects, or prior work.
Familiarity with NVIDIA GPUs, CUDA, or DGX-class systems.
Coursework or projects with LLMs, RAG, or AI agents.
Exposure to a major cloud, preferably AWS.
Interest in nuclear, energy, or other critical-infrastructure sectors.
Coursework or interest in cybersecurity, data governance, or regulated computing.

Responsibilities

Identify use cases. Work with NOS product and business teams to find and document where AI deployments add value across the platform and for customers, and rank them by value and feasibility.
Deliver AI models and products. Build, train, and evaluate AI models for the highest-value use cases, and help turn validated work into products for TNC's own use and for commercial offering.
Advise on hardware. Assess NVIDIA and other hardware options against NOS needs, cost, and the regulatory and security constraints of a nuclear environment.
Work with domain experts. Partner with TNC team members and nuclear industry domain experts to pressure-test use cases and keep solutions relevant, credible, and worth productizing.
Document and report. Keep clear notes, write up findings, and present results to the team at the end of each semester.