Simulation and Test Systems Manager

Reliable Robotics; Mountain View (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Reliable Robotics in Mountain View, CA, is seeking a Simulation and Test Systems Manager to lead the end-to-end simulation framework and test automation infrastructure. You will guide flight dynamics modeling, hardware emulation, and cloud-scale Monte Carlo testing to support aviation certification.

You will mentor a team of engineers, shape engineering processes for rapid testing, and collaborate with GNC, Flight Software, and Certification to build robust verification tools and roadmaps for

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 role
• Strong professional experience in C++ and Python for simulation, system integration, and data processing
• Excellent documentation, collaboration, and cross-functional communication skills

Responsibilities

• Lead and grow the Simulation and Test Systems team responsible for the end-to-end simulation framework and test automation infrastructure
• Mature engineering processes to balance rapid simulation-based testing with rigorous verification for aviation certification
• Provide technical and architectural guidance on the simulation stack, including performance, flight dynamics modeling, hardware emulation, and cloud-based parallel simulation
• Coordinate with GNC, Flight Software, Systems, Avionics, and Certification to develop roadmaps and empower the team to deliver reproducible verification tools

Skills

C++

Python

Simulation framework

HITL

Leadership

Documentation

GNC knowledge

Education

Bachelor's degree in CS/Robotics/Aerospace

Tools

AWS

Docker

Kubernetes

Job description

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

Our Simulation and Test Systems team is at the core of Reliable's autonomy mission, responsible for building the high-fidelity physics simulation, event-driven test framework, hardware-in-the-loop (HITL) test environments, and cloud-scale Monte Carlo infrastructure. These systems are essential for enabling millions of flight-equivalent hours of box and system level testing, providing fast and accurate feedback on system behavior under all conceivable flight profiles, environmental conditions, and fault states.

Responsibilities

As the Simulation and Test Systems Manager at Reliable Robotics, you'll lead and grow the 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 algorithm evaluation with the rigorous, deterministic verification required for aviation certification.

You'll provide technical and architectural guidance on all aspects of the simulation stack, including framework performance, flight dynamics modeling, hardware emulation, and cloud-based parallel simulation systems. You'll work closely with leaders across Guidance, Navigation, and Controls (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.

Basic Success Criteria

• Bachelor's Degree in Computer Science, Robotics, Aerospace Engineering, or a related discipline

• 7+ years of professional experience in simulation framework design, physics modeling, or hardware-in-the-loop (HITL) test development

• 3+ years of experience in a technical leadership or people management role, scaling teams and engineering processes

• Strong professional experience in C++ and Python for simulation, system integration, and data processing

• Excellent documentation, collaboration, and cross-functional communication skills

Preferred Criteria

• Demonstrated success leading teams and maturing development processes in a high-growth environment

• Deep understanding of aircraft flight dynamics, sensor modeling, or control systems

• Experience developing high-fidelity simulators or test environments for safety-critical / DO-178C software and hardware systems

• Experience architecting distributed simulation frameworks, cluster virtualization, or cloud-scale Monte Carlo test pipelines (AWS/Docker/Kubernetes)

• Experience working with hardware emulators, waveform generators, or real-time operating systems (RTOS)

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce.

As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law.

All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [e-mail]