Software Engineering Leader - Infrastructure and Computing

About Radiant

Radiant is an El Segundo, CA-based startup building the world’s first mass-produced, portable nuclear microreactors. The company’s first reactor, Kaleidos, is a 1-megawatt, fail-safe microreactor that can be transported anywhere power is needed and run for up to 5 years without refueling. Portable nuclear power with rapid-deploy capability can replace similar-sized diesel generators and provide critical asset support for hospitals, data centers, remote sites, and military bases.

Radiant’s unique, practical approach to nuclear development leverages modern software engineering to rapidly deliver safe, factory-built microreactors that use existing, well-qualified materials. Founded in 2020, Radiant is on track to test its first reactor at the Idaho National Laboratory next year, with initial customer deliveries beginning in 2028.

Radiant is seeking a hands-on Software Engineering Leader for Infrastructure to build and lead a team that scales our software infrastructure, developer tooling, and data processing capabilities that power our engineering organization in simulation, Multiphysics modeling, high-performance computing, and scientific computing. In this role, you will establish a platform function that serves as the backbone for Radiant's engineering organization—enabling faster iteration on reactor designs, sophisticated Digital Twin simulation and visualization, and data-driven analysis across the company.

You will work in a highly interdisciplinary environment to build products that accelerate our path to deploying the world's first mass-produced nuclear reactor.

• Build, lead, and mentor a high-performing team of software engineers focused on compute infrastructure, platform, scientific tooling, software tooling, CI/CD pipelines, deployments, and data processing systems.
• Partner with engineering leaders across software, simulation, electrical, mechanical, and nuclear disciplines to identify infrastructure and tooling needs.
• Build our HPC infrastructure, environment and tooling necessary to maintain high-quality standards and detect issues in real time across engineering systems.
• Own the technical roadmap for internal developer tooling: CI/CD pipelines, version control systems, artifact management, build systems, developer, scientific computing environments, testing frameworks, and release processes.
• Architect and maintain platforms that provide real-time monitoring, Digital Twin visualizations, and analysis tools for Kaleidos reactor systems.
• Scale data processing infrastructure to support increasingly sophisticated simulation post-processing, visualization, and analysis workflows.
• Foster a culture of engineering excellence through strong technical practices, automation, and continuous improvement.
• Recruit and develop top engineering talent while building a high-performance team culture that enables organizational velocity.

• Bachelor's degree in computer science, physics, mechanical engineering, or a related engineering field from an accredited institution.
• 7+ years of professional software engineering experience in data infrastructure, compute platforms, high performance computing (HPC), scientific computing, developer productivity, software tooling, or platform engineering.
• 3+ years of people management or technical leadership experience building and leading engineering teams.
• Strong software development expertise in programming languages such as Python, Golang, Rust, C#, or C/C++.
• Deep understanding of computing, system design, data structures, algorithms, and distributed systems architecture.
• Extensive experience with build systems, data pipelines, and infrastructure automation.
• Experience leading technical projects and teams integrating software into hardware systems such as robotics, controls, circuits, devices, vehicles, etc.
• Proficiency with containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code tools (Terraform, Ansible, etc.).
• Significant experience working in hybrid cloud/on-premises environments, specifically AWS and Linux systems.
• Strong foundation in software engineering best practices…