Embedded Systems Engineer

We’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.

• 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.
• 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.

4.34.3 out of 5 stars 3015 West Directors Row, Salt Lake City, UT 84104 $120,000 - $150,000 a year - Full-time, Pulled from the full job description

• Paid parental leave
• Parental leave
• 401(k)
• Health insurance
• Paid time off
• Vision insurance
• Dental insurance, * 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.

Pay: $120,000.00 - $150,000.00 per year, * 401(k)

• Dental insurance
• Health insurance
• Paid parental leave
• Paid time off
• Stock options
• Vision insurance