Level

Tractable

Embedded Systems Engineer

Tractable is hiring an Embedded Systems Engineer in Salt Lake City, United States. It pays $120k-$150k a year and Level rates it ; you can apply on Level.

AI in this role

Build embedded software and firmware for an AI-powered drive-through vehicle inspection and damage assessment scanner.

openaiclaudecursorclaude-codecodexlinuxcpython
ai-researchembedded-systemsfirmwaresignal-processingcomputer-vision
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

  • 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.

How we rate this

Embedded Systems Engineer at Tractable rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI ResearchEmbedded SystemsFirmwareSignal ProcessingComputer visionOpenAIClaudeCursor

Questions you could be asked

  1. Tell me about a research question you investigated. What did you find?
  2. Tell me about a project where embedded systems was part of your work. What did you do?
  3. Tell me about a project where firmware was part of your work. What did you do?
  4. Tell me about a project where signal processing was part of your work. What did you do?
  5. Walk me through a computer vision problem you solved, from raw data to a deployed model.

Adapt your resume

  • List these exact terms on your resume: AI Research, Embedded Systems, Firmware, Signal Processing, and Computer vision. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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