Embedded Systems Engineer

TractableSalt Lake City, UT
1d

About The Position

We combine world-class AI research with real-world applications that make a difference. At Tractable, you’ll collaborate with brilliant minds, work on transformative projects, and contribute to technology that helps people when they need it most. About the role 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.

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.
  • 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.

Nice To Haves

  • Computer vision/depth sensing experience (stereo, structured light, LiDAR, triangulation).
  • Multi-device synchronization (timestamps, trigger distribution, drift management).
  • 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.

Responsibilities

  • 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.
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