Software Engineer (Applied AI/ML)

Thanks for your interest in Oklo! We are searching for a Software Engineer to join our team.

Join us in pioneering the next generation of nuclear reactors! You'll leverage your software skills alongside nuclear engineers to model, simulate, design, and deploy advanced fission power technology. You will work at the forefront of the nuclear industry, developing novel techniques to reach new levels of safety, efficiency, and resiliency. Come be a part of powering the future with advanced fission power plants to provide clean, reliable, affordable energy.

Position Description

Oklo is a fast-moving startup where you will be responsible for tackling a wide range of challenges in deploying nuclear systems. A nuclear background is not required, but a healthy curiosity and eagerness to learn are essential in this role.

Specific responsibilities may include:

Invent and implement practical LLM-based workflows to accelerate Oklo’s business and engineering processes.

Ensure rigorous security and information control.

Accelerate both engineering and non-technical workflows.

Design, implement, deploy and maintain production machine learning models for the design and analysis of nuclear systems.

Develop surrogate models for use in real-time digital twins.

Grow and manage a team of software engineers to support your AI initiatives.

Present roadmaps, product demos, and progress updates to senior leadership.

Ensure their departments' needs are met by your initiatives.

Solicit user feedback from individual contributors and department leadership.

Minimum Qualifications:

Bachelor’s degree in Computer Science, Electrical Engineering, Math, Physics, or equivalent software engineering experience.

Managing and/or integrating AI into large, corporate data ontologies.

Leading company-wide initiatives (from project inception to delivery and maintenance).

Physics-informed machine learning (surrogates, symbolic encodings, digital twins).

Python fluency.

CI/CD pipelining.

Git proficiency.

Growing small software organizations.

Working with large data collection pipelines.