Senior Software Engineer, Radiant Nuclear

• Bachelor's degree in computer science, physics, engineering, or a related technical field
• 5+ years of software engineering experience, with a focus on tooling, data pipelines, or workflow automation
• Expert proficiency in Python; familiarity with at least one of Rust, Golang, C++, or C#
• Experience building data pipelines and integration layers between scientific or engineering software tools
• Demonstrated ability to work directly with non-software engineers to scope and deliver tooling that solves real workflow problems
• Familiarity with Git, Docker, Kubernetes, and CI/CD practices
• Strong instinct for identifying the simplest solution that meaningfully improves engineering velocity
• Must be willing to work extended hours and weekends as necessary to accomplish our mission

Desirable

• Radiant is seeking a Senior Software Engineer to build the analysis tooling and data infrastructure that accelerates how our engineering teams design and validate the Kaleidos reactor
• You'll work directly with reactor physics, materials, and systems engineering teams to understand their workflows, identify automation opportunities, and build tools that eliminate bottlenecks — from standardizing data inputs and outputs to integrating analysis codes like Attila into our materials database
• This role is about understanding how our engineers and scientists work and building sharp, precision, practical tooling that makes them dramatically faster
• You'll own the full lifecycle of these tools and platforms: scoping, building, iterating, and maintaining them as Radiant's analysis needs evolve
• Partner with reactor design, materials, and systems engineering teams to map existing analysis workflows and identify high-value automation and tooling opportunities
• Build and maintain data pipelines that connect analysis codes (including Attila and other neutronics/thermal tools) to Radiant's materials database and downstream post-processing systems
• Standardize data input and output formats across analysis tools to reduce manual overhead and improve reproducibility
• Develop post-processing and visualization tooling to help engineers quickly interpret simulation and analysis results
• Own the integration between Attila and the materials database, ensuring data flows reliably and consistently between systems
• Build lightweight automation to eliminate repetitive manual tasks across engineering workflows
• Design and maintain APIs and data access layers that allow engineers to programmatically query analysis results and materials data
• Establish data quality checks and validation frameworks to ensure analysis inputs and outputs meet engineering standards