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Salt Lake City, Utah, United States
Onsite
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.
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.
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.
Core 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.
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
Compensation: $120-150k
At Tractable, we are committed to building a diverse team and inclusive workplace where people’s varied backgrounds and experiences are valued and recognised.
We encourage applications from candidates of all backgrounds and offer equal opportunities without discrimination.