Leads software integration of autonomy capabilities across aerospace and operational platforms, developing interfaces and deployment frameworks while validating systems through SIL, HIL, and VIL environments. Requires a bachelor's degree, 4–7 years of complex-systems integration experience, and expertise in C++, Python, Linux, and robotics middleware.
120k – 180k/yr
On-site5+ YOESolutions Architecture
About the role
Responsibilities
Lead integration of Hivemind autonomy onto expeditionary and emerging operations platforms.
Develop and maintain software interfaces between autonomy, vehicle subsystems, autopilots, payloads, mission computers, and platform services.
Configure Linux mission-computing environments, middleware, containers, and deployment pipelines.
Integrate sensors, payloads, radios, tactical networks, ground control stations, and mission systems.
Develop reusable platform onboarding frameworks, interface adapters, and deployment mechanisms.
Support Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), Vehicle-in-the-Loop (VIL), and representative integration environments.
Lead debugging across hardware, embedded software, networking, and autonomy interfaces.
Support demonstrations, exercises, surrogate operations, and customer events.
Coordinate integration activities across autonomy, systems engineering, flight test, program leadership, and external partners.
Mentor junior engineers and drive engineering best practices.
Required Qualifications
Bachelor's degree in Computer Science, Aerospace, Electrical, Mechanical Engineering, or a related field.
4–7 years of experience in integration and testing of robotics, autonomy, aerospace, or similar complex systems.
Proficiency in C++ and Python, with familiarity with real-time operating systems (RTOS).
Proficiency in Linux-based development.
Experience integrating complex software systems with vehicle platforms, mission computing environments, payloads, sensors, and communications systems.
Experience with sensor integration and middleware frameworks such as ROS.
Hands-on experience supporting field tests, demonstrations, or operational events.
Strong systems engineering and troubleshooting skills.
Ability to obtain and maintain a Secret clearance.
Preferred Qualifications
Experience with flight-control systems such as ArduPilot or PX4.
Experience with unmanned aerial systems, including fixed-wing aircraft or quadrotors.
Background in autonomy, robotics, or aerospace systems.
Familiarity with flight controllers, radios, and communications systems.
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