About the position
Physical and financial systems are under growing pressure from a changing planet. Neural Earth fuses geospatial intelligence and AI to help organizations understand how environmental, social, and economic factors intersect across space and time. By transforming massive geospatial datasets into clear, actionable insight, Neural Earth enables decision-makers to anticipate risk, strengthen resilience, and plan with confidence—from individual properties to global portfolios.
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.
Qualification
- 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
- Civilian or defense domain UAS work experience.
Travel
- Up to 15%
Apply for this position
About the position
Physical and financial systems are under growing pressure from a changing planet. Neural Earth fuses geospatial intelligence and AI to help organizations understand how environmental, social, and economic factors intersect across space and time. By transforming massive geospatial datasets into clear, actionable insight, Neural Earth enables decision-makers to anticipate risk, strengthen resilience, and plan with confidence—from individual properties to global portfolios.
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.
Qualification
- 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
- Civilian or defense domain UAS work experience.
Travel
- Up to 15%
Apply for this position
About the position
Physical and financial systems are under growing pressure from a changing planet. Neural Earth fuses geospatial intelligence and AI to help organizations understand how environmental, social, and economic factors intersect across space and time. By transforming massive geospatial datasets into clear, actionable insight, Neural Earth enables decision-makers to anticipate risk, strengthen resilience, and plan with confidence—from individual properties to global portfolios.
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.
Qualification
- 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
- Civilian or defense domain UAS work experience.
Travel
- Up to 15%