Maintain and improve camera control software (triggering, timing, health monitoring, error recovery)
Maintain and improve sensor control software (presence/distance/measurement sensors, calibration, fault handling)
Develop new scanner capabilities
Implement signal processing pipelines (e.g., convert laser triangulation outputs into 2D tread-depth maps; post-process stereo depth results; filtering/denoising; coordinate transforms)
Prototype quickly, then harden implementations to production-grade reliability
Support system integration and deployments: bring up new modules, validate in the lab/on-vehicle, debug issues, and ship fixes

Strong software engineering fundamentals (debugging, testing, reliability, version control)
Experience integrating sensors/devices in real-world systems
Comfort working close to hardware: bring-up, wiring, and iterative troubleshooting
Ability to take ambiguous requirements and ship maintainable systems
Embedded/edge platforms: Raspberry Pi, NVIDIA Jetson, Arduino (or similar)
Protocols and interfaces: RS-485, CAN, Modbus, UART/I2C/SPI, GPIO
Linux-based device development: system services, supervision, logging, performance profiling
Sensor/vision data processing: filtering, calibration, synchronization, map generation
Able to connect sensors to compute hardware safely and cleanly
Comfortable with basic soldering, crimping/connectors, and reading datasheets/wiring diagrams

Embedded Systems Engineer

Key skills