Principal Spacecraft Simulation Software Engineer
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 Principal Spacecraft Simulation Software Engineer to define the long-term technical vision and architecture for a simulation platform that spans some of the hardest problems in modern aerospace — from high-fidelity multi-physics modeling of spacecraft and constellations to simulation of complex, dynamic environments that don't yet have established playbooks.
RESPONSIBILITIES
Technical Vision & Architecture
- Own the long-term technical strategy and architectural roadmap for True Anomaly's simulation infrastructure, spanning multi-physics modeling, real-time, faster-than-real-time execution, and hardware/software-in-the-loop environments
- Make high-consequence architectural decisions — technology selection, inter-system interface design, performance targets, and long-term maintainability tradeoffs — with full awareness of downstream impact across engineering, GNC, mission planning, and operations
- Identify and resolve fundamental technical risks before they become program-level blockers; anticipate capability gaps 12–24 months out and drive proactive investment
- Establish and steward engineering standards, simulation best practices, and V&V frameworks adopted across the organization
Simulation Development
- Lead the design and implementation of production-quality multi-physics simulation software spanning 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)
- Arcitect and implement tightly coupled physics algorithms capturing complex subsystem interactions (thermal-structural, power-thermal, propulsion-dynamics) with rigorous attention to numerical stability, accuracy, and performance
- Design advanced time-stepping algorithms, solver architectures, and integration schemes that support scalable, real-time, and batch simulation use cases
- Write production-quality C++ with emphasis on performance, correctness, maintainability, and testability; establish the quality bar others rise to meet
API Design & Integration
- Define the simulation platform's external-facing API strategy across C++ and Python, ensuring interfaces are intuitive, performant, versioned, and backward-compatible as the platform evolves
- Partner with mission planning, GNC, systems engineering, and autonomy teams to understand capability needs and translate them into durable, well-documented platform investments
- Drive creation of comprehensive documentation, developer guides, and reference examples that enable self-service across the organization
Leadership & Collaboration
- Serve as a technical anchor across the simulation team; provide architectural guidance, unblock decisions, and ensure coherent execution toward shared goals
- Drive a culture of engineering excellence through rigorous code reviews, mentorship, pair programming, and knowledge transfer
- Mentor engineers at all levels; contribute directly to career development conversations and growth planning
- Partner with engineering leadership to shape simulation capability roadmaps, surface tradeoffs, and contribute to proposals and technical white papers
- Represent simulation engineering in cross-functional forums, program reviews, and customer-facing discussions
QUALIFICATIONS
Education
- Bachelor's in aerospace engineering, mechanical engineering, computer science, physics, applied mathematics, or equivalent experience; advanced degree preferred
Experience
- 10+ years of professional software development with deep focus on simulation, scientific computing, or aerospace applications; demonstrated progression into technical leadership roles
C++
- Expert-level proficiency in modern C++ (C++17 or newer), including STL, templates, performance optimization, and large-scale system design
Python
- Proficiency in API design, scripting, automation, and data analysis
Technical leadership
- Proven track record of setting technical direction for large, complex software systems and driving multi-team efforts to delivered capability
Domain knowledge
- Deep expertise in two or more 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 frameworks for physics-based models at scale, including uncertainty quantification and validation against test or flight data
Systems thinking
- Ability to make sound architectural decisions within complex, distributed systems
Communication
- Exceptional written and verbal communication; able to articulate complex technical concepts to both engineering peers and non-technical leadership stakeholders
PREFERRED SKILLS AND EXPERIENCE
Hypersonic modeling
- Experience developing high-fidelity aerothermal, aerodynamic, and flight dynamics models for hypersonic vehicles, including coupled aero-thermal-structural effects, shock layer physics, and boundary layer modeling
Advanced physics-based M&S
- Extensive experience delivering validated, production-grade simulation capabilities for aerospace or defense programs at scale
Numerical methods
- Expert-level knowledge of ODE/DAE solvers, numerical linear algebra, sparse matrix techniques, and automatic differentiation; experience tuning solvers for stiff, multi-rate, or real-time-constrained problems
Astrodynamics & kinematics
- Deep familiarity with the core concepts of space domain dynamics modeling
Software engineering excellence
- Expert proficiency with Git, CI/CD, CMake or Bazel, and testing frameworks; experience establishing engineering standards at the team or org level
Scalable simulation infrastructure
- Experience with parallel/distributed computing, Docker, and cloud platforms for large-scale simulation execution
HIL/SIL systems
- Extensive experience designing and operating HIL/SIL environments, including real-time simulation interfaces to flight software or embedded hardware
Technical thought leadership
- Published work, conference presentations (AIAA, AAS, IEEE, etc.), or patents in simulation, astrodynamics, GNC, or related domains
COMPENSATION
Base Salary: $230,000 - $390,000
Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave