Embedded Systems Engineer

Tractable•Salt Lake City, UT

1d•$120,000 - $150,000•Onsite

About The Position

We are building LUMA, a drive-through vehicle inspection scanner that combines multi-camera capture, active illumination, and multiple sensor modalities to produce high-fidelity vehicle imagery and measurements. We’re looking for an Embedded Systems Engineer to help build and evolve the device-side (edge) software and firmware stack — controlling cameras and sensors, synchronizing capture, and building new measurement capabilities. The role sits at the intersection of embedded software, hardware integration, and sensor/vision data processing. You’ll take features from quick prototype through to production-grade reliability, and you’ll see them run on real vehicles.

Requirements

3+ years of experience in embedded engineering.
Production coding in C/C++ and/or Python, backed by strong software engineering fundamentals (OOP, testing, debugging, version control).
Embedded Linux expertise, including system services, supervision, logging, and performance profiling.
Hands-on hardware & sensor integration using standard protocols (UART, I2C, SPI, GPIO) and industrial interfaces (RS-485, CAN, or Modbus).
Practical lab & bring-up skills: proficient with oscilloscopes, logic analyzers, multimeters, basic soldering/wiring, and reading datasheets/schematics.
Modern developer workflow: experience using AI coding tools (Cursor, Claude Code, OpenAI Codex) to rapidly iterate high-quality code.
Ownership mindset: ability to navigate ambiguous requirements, solve tough problems, and ship maintainable systems in a fast-paced environment.

Nice To Haves

Camera and sensor stacks run reliably for months, with clear telemetry and graceful recovery.
New capabilities move from prototype → validated pipeline → production release.
Hardware bring-up gets faster over time as tooling, test harnesses, and standards improve.

Responsibilities

Build and maintain embedded Linux software and firmware for the camera and sensor stack.
Maintain and improve camera control software: triggering, timing, health monitoring, and error recovery.
Maintain and improve sensor control software: presence/distance/measurement sensors, calibration, and fault handling.
Build signal processing pipelines - e.g. converting laser-triangulation outputs into 2D tread-depth maps, post-processing stereo depth, filtering/denoising, and coordinate transforms.
Prototype fast, then harden to production-grade reliability.
Support integration and deployments: bring up new modules, validate in the lab and on-vehicle, debug issues, and ship fixes.