Sensors Systems Engineer

About the role

As a Sensors Systems Engineer, you sit at the critical intersection of hardware and software. You are the architect of our platforms' perception systems, leading the selection, integration, and optimization of the "eyes and ears" of our UAVs—ranging from high-definition EO/IR gimbals to Radar, Lidar, and IMU systems.

What you'll do

• Hardware-Software Integration: Own the end-to-end integration of EO/IR cameras, gimbals, Radar, and Lidar. You will bridge the gap between physical mounting/wiring and the software nodes that control them.
• Low-Level Development: Design and implement drivers and ROS2 nodes. You will work directly with hardware protocols including I2C, SPI, CAN, Serial, and Ethernet (RTSP/UDP).
• Time Synchronization & Data Management: Solve the "hard" problems of temporal synchronization across distributed hardware (using PTP, PPS, or hardware triggering) to ensure all sensor streams are perfectly aligned for fusion.
• Precision Calibration: Develop and execute rigorous intrinsic and extrinsic calibration routines to ensure the platform's sensor suite is spatially and logically unified.
• System Optimization: Profile and tune sensor pipelines to squeeze maximum performance out of resource-constrained embedded compute (e.g., NVIDIA Jetson).
• Field Evaluation: Support flight tests and field deployments, diagnosing hardware-level issues in real-time and iterating quickly on design improvements to ensure mission success.

What you'll need

• Technical Background: A degree in Mechatronics, Robotics, Electrical Engineering, or a related field.
• The "Hybrid" Skillset: You are equally comfortable with hardware diagnostic tools (oscilloscopes, multimeters) and modern software development environments.
• Programming: Strong proficiency in C++ and Python, specifically for hardware interfacing and embedded systems. Experience with ROS2 is a big advantage.
• Protocol Fluency: Hands-on experience with I2C, SPI, CAN, and Ethernet-based sensor communication.
• Critical Thinking: A track record of addressing complex design trade-offs—balancing sensor range and resolution against weight, thermal, and power constraints.
• Proactive Problem Solver: A self-driven engineer who thrives on troubleshooting complex systems at the boundary of hardware and code.