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Tractable

AI-powered motor-claims automation for insurers

Senior Embedded Systems Engineer

Embedded EngineeringConfirmed live in the last 24 hours
Full-timeSalt Lake City, UT, USAIn-person

About the Job

Requirements

  • At least 6 years of embedded engineering experience and a track record of architecting and shipping production-grade systems.
  • Technical leadership capabilities, including mentoring engineers and driving system architecture decisions.
  • Production coding experience in C/C++ and/or Python, with strong system design and software fundamentals including object-oriented programming, testing, reliability, and version control.
  • Expertise in embedded Linux, including system services, supervision, logging, and performance profiling.
  • Hands-on hardware and sensor integration experience, connecting sensors to compute hardware using UART, I2C, SPI, GPIO, and industrial interfaces such as RS-485, CAN, or Modbus.
  • Practical lab and bring-up skills, including use of oscilloscopes, logic analyzers, and multimeters; soldering; crimping and connectors; board bring-up; and interpretation of board-level schematics and datasheets.
  • Experience using AI coding tools such as Cursor, Claude Code, or OpenAI Codex to iterate on code.
  • Ability to navigate ambiguous requirements, solve complex problems, and deliver maintainable systems.

Responsibilities

  • Architect embedded Linux software and firmware systems for the camera and sensor stack.
  • Provide technical leadership and guidance across embedded software, firmware, and electrical systems; set best practices and mentor other engineers.
  • Bring up custom camera and sensor subsystems end to end.
  • Maintain and improve camera control software, including triggering, timing, health monitoring, and error recovery.
  • Maintain and improve sensor control software for presence, distance, and measurement sensors, including calibration and fault handling.
  • Build signal-processing pipelines, including converting laser-triangulation outputs into 2D tread-depth maps, post-processing stereo depth, filtering and denoising, and coordinate transforms.
  • Prototype quickly, then harden systems to production-grade reliability.
  • Support integration and deployments by bringing up new modules, validating them in the lab and on vehicles, debugging issues, and shipping fixes.

About the Company

Tractable

AI-powered motor-claims automation for insurers

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.

Company size
51-200
Company stage
Series E
Total funding
$180M
Headquarters
London, United Kingdom
Founded
2014

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