Embedded Systems Engineer

Full-timeOn-site
Salt Lake Cityvia Tractable CareersPosted Oct 6, 2026
Match with my CV

Technical skills

PythonC++SRE

About this role

Why Tractable?

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.

Tractable is a leader in AI for auto repair and insurance, backed by SoftBank, Insight Partners, and Georgian. LUMA is our internal startup: a small Salt Lake City team building a drive-through scanner that pushes vehicle damage assessment toward real-time AI identification and repair estimation.

Our Salt Lake City office is home to the small team that designs, builds, and produces the LUMA scanner — hands-on work, close to the hardware. Expect startup pace and real ownership, backed by the data and funding of a company that has already proven the model at scale.

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 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.

What you’ll do

  • 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.

What we’re looking for

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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.
  • What success looks like
  • 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.
  • Contract type: Permanent
  • Compensation: $120-150k + equity
  • Diversity commitment
  • 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.

Before you apply

  • 1Which parts of your CV prove experience with Python, C++, and SRE?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

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