Software Engineering Leader - Infrastructure And Computing

About the Role

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.

Responsibilities and Duties

• 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.

Required Qualifications

• 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 (version control, code review, testing, CI/CD)

Preferred Qualifications

• Advanced degree (Master's or Ph.D.) in computer science, physics, mechanical, electrical engineering, or a similar field.

• 9+ years of professional software engineering experience in data infrastructure, compute platforms, high-performance computing, scientific computing, developer productivity, software tooling, or platform engineering.

• 5+ years of people management or technical leadership experience building and leading engineering teams.

• Experience in highly regulated industries (aerospace, defense, automotive, nuclear, or medical devices).

• Background leading teams working on simulation workflows, computational modeling, or scientific computing infrastructure.

• Track record leading teams developing distributed systems, databases, large-scale data systems, and backend APIs.

• Experience building or managing infrastructure for hardware-in-the-loop or software-in-the-loop testing environments.

• Strong DevOps background with expertise in observability, monitoring, and reliability engineering practices. Tools like Datadog, Grafana, InfluxDB, Prometheus, Nagios, etc.

Work Environment

• Must work 100% onsite at El Segundo HQ.
• Must be willing to work extended hours and weekends as necessary to accomplish our mission.