Sr. Software Engineer, Spacecraft Simulation

A new space race has begun. True Anomaly seeks those with the talent and ambition to build innovative technology that solves the next generation of engineering, manufacturing, and operational challenges for space security and sustainability.

OUR MISSION

The peaceful use of space is essential for continued prosperity on Earth—from communications and finance to navigation and logistics. True Anomaly builds innovative technology at the intersection of spacecraft, software, and AI to enhance the capabilities of the U.S., its allies, and commercial partners. We safeguard global security by ensuring space access and sustainability for all.

OUR VALUES

• Be the offset. We create asymmetric advantages with creativity and ingenuity
• What would it take? We challenge assumptions to deliver ambitious results
• It’s the people. Our team is our competitive advantage and we are better together

YOUR MISSION

Software is the central nervous system for True Anomaly's engineering and product thesis. Software bridges the gap between military objectives, theoretical physics, and the human and autonomous control of spacecraft and ground systems. True Anomaly is seeking a Sr. Spacecraft Simulation Software Engineer to drive the development and enhancement of our spacecraft, constellation modeling, and simulation software with a focus on multi-physics, high-fidelity simulation.

You will take ownership of significant technical components within our simulation infrastructure, working independently to design, implement, and deliver complex features. Working in a fast-paced, interdisciplinary team, you will develop algorithms for modeling coupled physics including 6-degree-of-freedom (6DOF) rigid body dynamics, thermal systems, attitude dynamics and control, power systems, propulsion, and their interactions. You will also mentor junior engineers and contribute to architectural decisions that shape the future of our simulation capabilities.

RESPONSIBILITIES

Simulation Development

• Design and implement multi-physics simulation software across spacecraft subsystems: 6DOF rigid body dynamics (gravity gradient, solar radiation pressure, atmospheric drag, magnetic torques, third-body effects), thermal modeling, attitude dynamics and control, propulsion (chemical/electric), power generation and storage, and high-fidelity sensor/actuator models (reaction wheels, CMGs, star trackers, gyros, magnetometers)
• Develop coupled physics algorithms capturing subsystem interactions (thermal-structural, power-thermal, propulsion-dynamics)
• Design time-stepping algorithms, solver architectures, and integration schemes for real-time and faster-than-real-time simulation
• Write production-quality C++ with emphasis on performance, maintainability, and testability

API Design & Integration

• Design and maintain robust APIs in C++ and Python serving internal customers across the organization
• Collaborate with mission planning, GNC, and systems engineering teams to ensure APIs are usable, performant, and backward-compatible
• Create comprehensive documentation, examples, and user guides

Leadership & Collaboration

• Drive architectural decisions for simulation subsystems, including technology selection, interface design, and long-term maintainability tradeoffs; conduct thorough code reviews
• Mentor junior engineers through pair programming and technical guidance
• Contribute to sprint planning, estimation, and technical risk assessment
• Participate in hiring through technical interviews and candidate assessment

QUALIFICATIONS

• Education: Bachelor's in aerospace engineering, mechanical engineering, computer science, physics, applied mathematics, or equivalent experience
• Experience: 5–8 years of professional software development with significant focus on simulation, scientific computing, or aerospace applications
• C++: Proficiency in modern C++ (C++17 or newer), including STL, templates, and performance optimization
• Python: Proficiency in API design, scripting, and data analysis
• Independence: Demonstrated ability to take ambiguous requirements and drive a complex technical effort to delivered capability with minimal direction
• Domain knowledge: Solid understanding of at least one of: ADCS, GNC, thermal control, electric power systems, chemical/electric propulsion, orbital mechanics, or HIL/SIL systems
• V&V: Demonstrated experience defining and executing verification and validation plans for physics-based models, including