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 uncertainty quantification and validation against test or flight data
• Systems thinking: Ability to make sound design decisions within larger distributed systems
• Communication: Strong written and verbal skills; able to articulate complex technical concepts clearly
• Clearance: U.S. Citizen eligible for DoD Secret or TS/SCI clearance

PREFERRED SKILLS AND EXPERIENCE

• Physics-based M&S experience in aerospace or defense
• Numerical methods: ODE/DAE solvers (Runge-Kutta, implicit, multi-step), numerical linear algebra, sparse matrix techniques, automatic differentiation
• Deep familiarity with coordinate frames (ECI, ECEF, LVLH, body frames), quaternion mathematics, and orbital mechanics
• Proficiency with Git, CI/CD, CMake or Bazel, and software testing frameworks
• Familiarity with parallel computing, Docker, and cloud platforms
• Experience with hardware-in-the-loop (HIL) or software-in-the-loop (SIL) testing environments, including simulation interfaces to flight software or embedded hardware

COMPENSATION

• Base Salary: $170,000 - $290,000
• Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. 

ADDITIONAL REQUIREMENTS

• Work Location—Successful candidates will be located near Denver or Long Beach. While we observe a hybrid work environment, some work must be done on site.
• Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
• Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite 

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.

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)
• 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

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 

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. 

ADDITIONAL REQUIREMENTS

• Work Location—this role is fully onsite. Candidates must be based in or able to commute to our Denver or Long Beach office daily.
• Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
• Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite