Embedded Systems Engineer (Autonomy & Drones)
Posted 9 days 1 hour ago by Neural
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Neural is seeking an Embedded Systems Engineer to design, integrate, and deploy flight control and autonomy software for next-gen unmanned aerial systems (UAS). You'll work on everything from real-time firmware to mission autonomy stacks supporting swarm coordination, adaptive routing, and multi-agent decision systems.
This is a highly technical role requiring deep knowledge of embedded architectures, real-time operating systems (RTOS), sensor integration, and low-level control for robotics.
Responsibilities- Develop firmware and embedded software for custom and open-source flight controllers (e.g., PX4, ArduPilot).
- Integrate GNSS, IMUs, Lidar, Radar, magnometer, and multispectral sensors.
- Familiarity with GPS. GLONASS a plus
- Enable autonomous navigation and flight control
- Optimize onboard systems for size, weight, power, and thermal efficiency.
- Collaborate with autonomy and AI teams on sensor fusion and path planning.
- Conduct system-in-the-loop (SIL) and hardware-in-the-loop (HIL) tests.
- Contribute to onboard autonomy, telemetry, and failsafe behaviors.
- 3-5+ years of experience in embedded software or control systems for robotics and drones.
- Proficient in Python, C/C++, ROS/ROS2, CAN, MAVLink, Pixhawk, and RTOS.
- Hardware prototyping, PCB design, raspberry pi a big plus
- Strong experience with low-level sensor drivers, debugging, and real-time tuning.
- Familiarity with flight test, telemetry logging, and blackbox analysis.
- Experience with autonomous systems or swarming protocols.
- Familiarity with Nvidia Jetson, STM32, or custom SoC platforms