Embedded Systems Engineer
Tractable
Embedded Systems Engineer
Tractable
AI-powered motor-claims automation for insurers
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. LumaScanner is our hardware-plus-SaaS vehicle scanning system: a drive-through scanner installed at dealerships, collision shops and insurer sites that pushes vehicle damage assessment toward real-time AI identification and repair estimation.
LumaScanner started as a small, scrappy project and is fast becoming a major revenue line. Our Salt Lake City team designs, builds and supports it - hands-on work, close to the hardware, with startup pace and real ownership, backed by the data and funding of a company that has already proven the model at scale.
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.
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.
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.
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
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.
Tractable focuses on applying artificial intelligence to automate automotive insurance processes, especially motor claims. Its product rapidly and accurately reviews repair estimates to help insurers settle claims faster and keep customers on the road. The technology digitizes and automates the entire claims workflow, enabling end-to-end automation that can reduce operational costs and the share of total-loss claims. Tractable differentiates itself by combining data and AI development to deliver scalable automation in partnership with insurers and automotive industry players, including large partners like GEICO. The company aims to improve claim speed, accuracy, and customer experience while driving efficiency for its partners and expanding its collaborations across the industry.
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