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Reliable Robotics is building automated aviation systems to enhance safety in air transportation. The Simulation and Test Systems team is core to the autonomy mission, responsible for high-fidelity physics simulation, event-driven test frameworks, hardware-in-the-loop (HITL) environments, and cloud-scale Monte Carlo infrastructure that enable millions of flight-equivalent testing hours.
As Simulation and Test Systems Manager, you will lead and grow a team of engineers responsible for Reliable's end-to-end simulation framework and test automation infrastructure. You'll own the maturation of engineering processes to balance rapid simulation-based testing and GNC (Guidance, Navigation, and Controls) algorithm evaluation with the rigorous, deterministic verification required for aviation certification.
Key responsibilities include providing technical and architectural guidance on all aspects of the simulation stack—framework performance, flight dynamics modeling, hardware emulation, and cloud-based parallel simulation systems. You'll collaborate closely with leaders across GNC, Flight Software, Systems, Avionics, and Certification to develop and execute technical roadmaps, manage priorities, and empower your team to deliver robust, reproducible, and highly scalable verification tools.
Required qualifications: Bachelor's degree in Computer Science, Robotics, Aerospace Engineering, or related discipline; 7+ years of professional experience in simulation framework design, physics modeling, or HITL test development; 3+ years in technical leadership or people management roles scaling teams and engineering processes; strong proficiency in C++ and Python for simulation, system integration, and data processing; excellent documentation, collaboration, and cross-functional communication skills.
Preferred: demonstrated success leading teams and maturing development processes in high-growth environments; deep understanding of aircraft flight dynamics, sensor modeling, or control systems; experience developing high-fidelity simulators for safety-critical DO-178C systems; experience architecting distributed simulation frameworks, cluster virtualization, or cloud-scale Monte Carlo pipelines (AWS/Docker/Kubernetes); experience with hardware emulators, waveform generators, or real-time operating systems (RTOS).
Note: This position requires access to U.S. export-controlled information. Employment is contingent on compliance with U.S. export control laws and documentation of U.S. person status or appropriate authorization.
