About the roleWe're building LUMA, a drive-through vehicle inspection scanner that combines multi-camera capture, active illumination, and multiple sensor modalities to generate high-fidelity vehicle imagery and measurements. We're looking for an Embedded Systems Engineer to own and evolve the device-side software/firmware stack that controls cameras and sensors, synchronizes capture, and enables new measurement capabilities.
This role sits at the intersection of embedded software, hardware integration, and sensor/vision data processing.
What you'll do- 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.
What we're looking forCore requirements
- 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.
Relevant technical experience- 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.
- Container based application development: Docker or similar container runtimes.
- Sensor/vision data processing: filtering, calibration, synchronization, map generation.
Hands-on electronics- Able to connect sensors to compute hardware safely and cleanly.
- Comfortable with basic soldering, crimping/connectors, and reading datasheets/wiring diagrams.
Preferred requirements
- Computer vision/depth sensing experience (stereo, structured light, LiDAR, triangulation).
- Multi-device synchronization (timestamps, trigger distribution, drift management).
- Queue based job management e.g. Redis worker queues.
- Production deployments (monitoring, remote updates, failure analysis).
- Python + C/C++ (and/or Rust/Go) in mixed systems.
- Familiarity with camera control APIs and image capture pipelines.
- Familiarity with IoT fleet management software such as AWS IoT, Balena Cloud, etc.
What success looks like- Camera and sensor stacks run reliably for weeks with clear telemetry and graceful recovery.
- New capabilities move from prototype to validated pipeline to production-ready release.
- Hardware bring-up time decreases as tooling, test harnesses, and standards improve.
Contract type: Permanent
