Embedded Systems Engineer (Autonomy & Drones)

Neural; United Kingdom; Remote; GBP 50,000 - 70,000; Full time

Job summary

A leading company in AI innovation is seeking an Embedded Systems Engineer to design and deploy flight control software for unmanned aerial systems. This role involves working with real-time firmware and collaborating with AI teams to enhance autonomy and navigation capabilities.

Qualifications

• 3-5+ years of experience in embedded software or control systems for robotics and drones.
• Strong experience with low-level sensor drivers, debugging, and real-time tuning.

Responsibilities

• Develop firmware and embedded software for custom and open-source flight controllers.
• Integrate GNSS, IMUs, Lidar, Radar, and multispectral sensors.
• Conduct system-in-the-loop (SIL) and hardware-in-the-loop (HIL) tests.

Skills

Python

C/C++

ROS/ROS2

CAN

MAVLink

Low-level sensor drivers

Tools

Pixhawk

RTOS

Raspberry Pi

Job description

At Neural, we are committed to building the future of AI. The world is changing, and we're at the forefront of that transformation. Our team is dedicated to creating innovative solutions that address the unique challenges of today's dynamic industries and unlock the potential of new markets.

We harness the power of Artificial Intelligence and Machine Learning to drive innovation and create solutions that shape the future of industries.We believe that the future of AI is in your hands. Our mission is to empower individuals and organizations to harness the power of AI to achieve their goals. Join us in shaping the future of AI today.

About the position

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