Lead development of high-fidelity 6-DOF flight and physics simulations for missile flight, guidance, navigation, and control validation. Build real-time physics integrations, Monte Carlo and hardware-in-the-loop testing, closed-loop infrastructure, sensor models, scenario tools, visualization, and performance-analysis systems. Ensure simulation fidelity, determinism, and performance across varied operating conditions while collaborating with flight software, autonomy, and hardware teams.
About the Company:
We are a stealth-mode Aerospace & Defense startup headquartered in Gardena, CA. Our founding team hails from SpaceX, Anduril, and Lockheed Martin, and we are backed by Joint Staff-level military leadership and several Silicon Valley firms. With a world-class business development & leadership team already in place, we are well positioned to capitalize on already overwhelming demand.
Job Overview:
As a GNC Engineer focused on Simulations, you will lead the development of high-fidelity physics-based simulations for end-to-end missile flight and guidance validation. These simulations serve as a digital proving ground for our flight software, autonomy stack, and control systems—enabling us to iterate rapidly and validate in silico what would otherwise require expensive, slow, or impossible real-world testi
ng.You’ll own simulation architecture, real-time physics integration, and testbed development. If you’re comfortable writing performant simulation code in Rust and Python, and you’re looking to do impactful work on a system that must work the first time, this is your chan
Key Responsibilities:
- Design high-performance 6-DOF flight and physics simulations
- Build simulation components that replicate real-world dynamics and sensor behavior
- Integrate guidance, navigation, and control (GNC) logic into full-stack simulations
- Develop Monte Carlo, Hardware-in-the-Loop (HITL), and closed-loop test infrastructure
- Collaborate closely with flight software, autonomy, and hardware teams to ensure simulation fidelity matches real-world constraints.
- Create tooling to support scenario authoring, data visualization, and performance analysis.
- Own simulation pipeline performance and determinism across a wide range of conditions.
Basic Qualifications:
- Bachelor's degree in Computer Science or a related technical field
- 7+ years of experience building simulations or numerical modeling frameworks
- Proficient in Rust and Python for performance-critical and test-driven development
- Understanding of rigid body dynamics, kinematics, numerical integration, and physics
- Experience building tools for flight dynamics, aerospace simulation, or autonomous systems
- Proficiency with compiled (e.g. C++, Rust) and scripted (e.g. Python) languages
Preferred Qualifications:
- Experience with Monte Carlo testing, sensor emulation, and closed-loop control validation
- Familiarity with real-time systems, latency-sensitive architectures, or distributed simulation
- Experience deploying or validating autonomous systems (missiles, drones, satellites, or vehicles)
- Familiarity with Rust game engines or physics libraries (e.g., Rapier, Bevy)
- Exposure to 3D rendering for simulation visualization (e.g., WebGL, OpenGL, Three.js)
- Contributions to aerospace open source or simulation frameworks (e.g., JSBSim, Gazebo)
Itar Requirements
- To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C.1157, or (iv) Asylee under 8 U.S.C.1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR
Compensation:
Salary: $175000- $230000 + Equity + Benefits ( Healthcare, Vision, Dental, 401k, and Lunch)
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