Principal Spacecraft Simulation Software Engineer

True Anomaly•Long Beach, CA

2d•Onsite

About The Position

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 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. At this level, your impact extends well beyond individual features. The platform you help shape will underpin mission planning, autonomy development, GNC validation, and operational decision-making across a range of scenarios that are technically novel by design. You will set technical direction across the simulation organization, serve as the internal authority on simulation methodology and best practices, and drive the technical culture of the team.

Requirements

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

Nice To Haves

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

Responsibilities

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
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)
Architect 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
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
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