Requirements
Must have:
- We look for strong software engineering fundamentals, including debugging, testing, reliability, and version control.
- We expect experience integrating sensors and devices in real-world systems.
- We value comfort working close to hardware, including bring-up, wiring, and iterative troubleshooting.
- We need the ability to take ambiguous requirements and deliver maintainable systems.
- We prefer experience with embedded or edge platforms such as Raspberry Pi, NVIDIA Jetson, Arduino, or similar.
- We prefer familiarity with industrial and hardware interfaces such as RS-485, CAN, Modbus, UART, I2C, SPI, and GPIO.
- We prefer Linux-based device development experience, including system services, supervision, logging, and performance profiling.
- We prefer experience with container-based application development using Docker or similar runtimes.
- We prefer experience in sensor and vision data processing, including filtering, calibration, synchronization, and map generation.
- We value hands-on electronics skills, including safely and neatly connecting sensors to compute hardware.
- We prefer comfort with basic soldering, crimping, connector work, and reading datasheets and wiring diagrams.
- We prefer computer vision or depth-sensing experience such as stereo, structured light, LiDAR, or triangulation.
- We prefer experience with multi-device synchronization, including timestamps, trigger distribution, and drift management.
- We prefer familiarity with queue-based job management such as Redis worker queues.
- We prefer production deployment experience, including monitoring, remote updates, and failure analysis.
- We prefer proficiency with Python and C/C++, with Rust or Go as additional strengths.
- We prefer familiarity with camera control APIs and image capture pipelines.
- We prefer exposure to IoT fleet management platforms such as AWS IoT or Balena Cloud.
Responsibilities:
- We will rely on you to maintain and improve our camera control software, including triggering, timing, health monitoring, and error recovery.
- We will rely on you to maintain and enhance our sensor control software, covering presence, distance, and measurement sensors, calibration, and fault handling.
- You will develop new scanner capabilities.
- You will build signal processing pipelines, such as converting laser triangulation outputs into 2D tread-depth maps, post-processing stereo depth results, filtering and denoising data, and performing coordinate transforms.
- You will prototype quickly and then harden solutions into production-grade implementations.
- You will support system integration and deployments by bringing up new modules, validating them in the lab and on vehicle, debugging issues, and shipping fixes.
Company:
We are building LUMA, a drive-through vehicle inspection scanner that uses multi-camera capture, active illumination, and multiple sensor modalities to produce high-fidelity vehicle imagery and measurements. This Embedded Systems Engineer role sits at the intersection of embedded software, hardware integration, and sensor and vision data processing. The position is based in Salt Lake City, Utah, with in-person work required.
We offer a compensation range of $120,000 to $150,000 per year, along with benefits including.
- 401(k)
- dental
- health
- vision insurance
- paid parental leave
- paid time off
- stock options