About the role

The Nuclear Company is building the AI platform that will accelerate the deployment of next-generation nuclear energy. Our mission is to transform how nuclear infrastructure is designed, licensed, constructed, and operated by combining cutting-edge artificial intelligence with deep engineering expertise.

Our platform enables engineers, utilities, EPC firms, and regulators to work faster, make better decisions, and deliver critical energy infrastructure with unprecedented efficiency and confidence.

We're looking for exceptional engineers who enjoy solving technically ambitious problems with real-world impact.

As a Member of Technical Staff, you'll build the AI systems that nuclear engineers depend on every day: LLMs, retrieval pipelines, autonomous agents, distributed backends, and the developer infrastructure underneath. The people using your software design reactors, review safety analyses, and work through NRC filings.

This is not a narrowly defined engineering role. Members of Technical Staff own difficult technical problems end-to-end, influence product direction, and collaborate closely with AI researchers, software engineers, product

managers, and nuclear domain experts.

You should be excited about building production AI systems where correctness, explainability, reliability, and safety matter.

Responsibilities

• Design and implement production-grade AI systems using large language models, retrieval systems, and autonomous agents.

• Develop scalable backend services and APIs supporting enterprise AI applications.

• Build evaluation frameworks to measure model quality, reliability, and safety.

• Architect retrieval pipelines over engineering documents, technical standards, CAD data, and regulatory information.

• Develop tooling for prompt engineering, model orchestration, and agent workflows.

• Improve inference performance, latency, and operational reliability of AI services.

• Partner closely with nuclear engineers to translate complex engineering workflows into AI-enabled products.

• Contribute across product architecture, infrastructure, ML systems, and developer tooling.

• Drive technical direction and uphold engineering excellence through code reviews, design discussions, and mentorship.

Required Experience

• Bachelor's, Master's, or PhD in Computer Science, Engineering, Mathematics, Physics, or a related technical discipline, or equivalent practical experience.

• 7-15+ years of professional software engineering experience.

• Strong programming skills in Python, with proficiency in at least one additional language (Go, Rust, C++, Java, or TypeScript).

• Experience building distributed systems and cloud-native applications.

• Strong understanding of modern software architecture and engineering best practices.

• Experience developing production software with rigorous testing and CI/CD practices.

• Excellent communication and collaboration skills

• Experience working across teams to align technical decisions with product and business goals.

• Track record of shaping technical direction for a product or platform: defining roadmaps, making architecture calls, and seeing them through

Preferred Experience

• Large Language Models (LLMs)

• Retrieval-Augmented Generation (RAG)

• AI agents and autonomous workflows

• Vector databases and semantic search

• Machine learning infrastructure (PyTorch, Ray, Kubernetes)

• Evaluation and benchmarking of foundation models

• Prompt engineering and model optimization

• Knowledge graphs

• Document intelligence and OCR

• Scientific computing

• High-performance computing

• Digital engineering or digital twins

• Nuclear engineering, energy systems, or industrial software

• Safety-critical or regulated software development

Benefits

• Competitive compensation packages
• 401k with company match
• Medical, dental, vision plans
• Generous vacation policy, plus holidays

Estimated Starting Salary RangeThe estimated starting salary range for this role is $xxxxx - $xxxxx annually less applicable withholdings and deductions, paid on a bi-weekly basis. The actual salary 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.