The board
Internship
DataEngineering
Summer 2027 AI Applied Research Internship
The Nuclear Company · Software Engineering
- Where
- Washington, DC
- Posted
- Aug 14
The Nuclear Company is the fastest growing AI tech-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 buildin…
What you'd do
- Problem formulation: translate operational processes (construction scheduling, portfolio sequencing, security operations) into well-defined modeling problems and make the case for the right approach.
- Simulation and evaluation: build environments that faithfully represent these processes so models can be trained, evaluated, and iterated on.
- Modeling: develop reinforcement learning, optimization, or forecasting models for schedule optimization, capital allocation under uncertainty, or anomaly detection and alert prioritization.
- Empirical research: design rigorous experiments, keep reproducible codebases, and communicate results clearly to technical and non-technical stakeholders.
- Production path: work with engineering on how models are served, monitored, updated, and safely overridden in production.
What they want
- Currently pursuing an MS or PhD in Computer Science, Machine Learning, Operations Research, Applied Math, Economics, Statistics, or a related quantitative field.
- Returning to your MS or PhD program after the fellowship (expected graduation December 2027 or later).
- Production-quality Python and PyTorch, with solid machine learning fundamentals.
- Hands-on experience (coursework, research, or projects) with at least one of: reinforcement learning, mathematical optimization, simulation and modeling, or time-series forecasting.
- Able to translate a messy real-world process into a tractable formulation (an MDP with sensible state, action, and reward, or an optimization model) and explain the modeling choice.
- Running pre-built models on clean benchmarks is not enough.
- Demonstrated ability to design, implement, and evaluate experiments, with reproducible research practices (version control, testing).
- This position requires access to information and technology subject to U.S. export controls (including DOE 10 CFR Part 810 and NRC requirements).
- Person status (U.S. citizen or lawful permanent resident) is required, and TNC does not provide visa sponsorship for these roles.
- Willing and able to work on-site in Washington DC, five days a week, for the full 12-week program
What you get
- Competitive compensation packages
- 401k with company match
- Medical, dental, vision plans
- Generous vacation policy, plus holidays
About The Nuclear Company · Software Engineering
The United States is building nuclear power again, at a scale not attempted in a generation, and The Nuclear Company is leading it. Our Applied Research and AI team works on the open problems that decide how a fleet of plants gets built: sequencing construction across many concurrent sites, allocating capital under deep uncertainty, and keeping a distributed critical infrastructure secure.