Spring 2027 Software Engineering Intern
$25 per hourThe Nuclear Company
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 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—Trust, 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 United States is building nuclear power again, and The Nuclear Company is writing the software that makes it possible. NOS, the Nuclear Operating System, runs the regulatory, supply chain, cost and schedule, and field work behind real reactor construction. The work matters for national security, energy independence, and the climate. You will build software that people use to build power plants. As a Software Engineering Intern, you take real scope on NOS across one of our engineering squads (product, platform, or data), and increasingly that means AI-powered software: LLM- and agent-backed features, retrieval, and tool-calling in the tools our teams use. You work next to full-time engineers and nuclear experts, ship real features to production, and see your work put to use by the teams building plants. This is a six-month co-op available in the Spring 2027 (January to June), aligned to the academic calendar. Base location is Washington DC, on-site five days a week, with full housing and relocation for co-ops outside the DC metro area. Responsibilities Build new features and full modules within NOS: regulatory automation, cost and schedule, supply chain, and the commercial portal. Build AI-powered software: LLM- and agent-backed features, retrieval-augmented generation, and tool-calling against internal systems, a growing part of the platform. Develop data integrations across Palantir Foundry, AWS GovCloud, and more. Convert build-a-thon prototypes into production-grade features and build field deployment tooling for the teams working in the field. Build the automated testing and compliance infrastructure that keeps NOS audit-ready; triage issues and root-cause failures. Required Experience Currently enrolled in a BS in Computer Science, Software Engineering, Computer Engineering, Mathematics, Physics, or a related technical field. Available for a full six-month term and returning to school afterward. Strong programming fundamentals in at least one modern language (Python, TypeScript, Java, Go, Rust, or C++). A track record of shipping working software (course projects, personal projects, or prior internships or co-ops). This position requires access to information and technology subject to U.S. export controls (including DOE 10 CFR Part 810 and NRC requirements). U.S. 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 six-month term. Preferred Experience Exposure to building AI-powered features: LLM APIs (OpenAI or Anthropic), retrieval-augmented generation, or agent and tool-calling. Coursework or project experience with Palantir Foundry, AWS, or another enterprise cloud platform. Familiarity with algorithms, data structures, cloud infrastructure, and modern front-end frameworks. Interest in energy, national security, industrial software, or regulated industries. Familiarity with nuclear engineering concepts (not required, we teach the domain) Benefits Competitive compensation packages Generous vacation policy, plus holidays Estimated Starting Salary Range The estimated starting rate for this role is $25.00 an hour plus a $2,000 monthly housing stipend less applicable withholdings and deductions, paid on a bi-weekly basis. The actual pay offered may vary based on relevant factors as determined in the Company’s discretion, which may include experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications held, and other criteria deemed pertinent to the particular role. EEO Statement The Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination. Export Control Certain positions at The Nuclear Company may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in The Nuclear Company limiting its consideration of certain applicants. #J-18808-Ljbffr The Nuclear Company
$18 - $50 per hour
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