Software Engineer, C++ Simulations (Starlink)

RESPONSIBILITIES:

• Lead the design, major refactors, redesigns, and ongoing evolution of the core C++ vehicle dynamics simulator and associated testing/support infrastructure for Starlink, ensuring it scales in performance and capability with the constellation.
• Architect and improve high-performance C++ Monte Carlo simulation infrastructure, including parallelization, dispersion handling, and reliability for large-scale runs.
• Drive development of new simulation features, models, and tooling in collaboration with users—focusing on performance, usability, and extensibility of the C++ core.
• Own performance optimization, profiling, continuous integration, unit/integration testing, and reliability improvements across the simulation stack.
• Design and implement new testing frameworks, support infrastructure, and visualization components to accelerate GNC development.
• Collaborate cross-functionally to accurately model multi-body physics, environmental effects, and hardware behaviors while maintaining rigorous software quality.
• BASIC QUALIFICATIONS:
• Bachelor’s degree in a STEM discipline and 1+ years of software development experience; OR 4+ years of professional software development experience in performant C++ OR numerical simulations
• PREFERRED SKILLS AND EXPERIENCE:
• Expert-level C++ skills focused on writing performant, simple, and safe code: strong command of the language fundamentals, efficient memory management, multi-threading/concurrency, data-oriented design, and careful performance-oriented implementation (favoring straightforward, low-overhead solutions over complex abstractions or heavy STL use when they compromise speed or safety).
• Experience building or optimizing high-performance simulations, physics engines, or real-time systems (e.g., game engines, multi-body dynamics, robotics, or aerospace simulators).
• High-performance computing (HPC) background: parallel computing, multi-threading, profiling/optimization tools, scalable architectures, or related techniques (Monte Carlo, distributed sims, etc.).
• Strong communication skills and the ability to proactively coordinate with partner teams—essential for success in a role that largely serves and collaborates closely with other engineering groups.