Senior Embedded Field Reliability Engineer

present of AI; Salt Lake City (UT); On-site; USD 110,000 - 170,000; Full time

Job summary

Tractable in Salt Lake City is seeking a Senior Embedded Field Reliability Engineer to keep a fleet of vehicle scanners running in the field, not to design new hardware. The role demands years of hands-on embedded work, chasing down intermittent field failures with logs, telemetry and bench tools, and shipping quick recovery fixes while clearly feeding findings back to engineering.

This is pivotal for AI-enabled diagnostics, with real deployed vision systems, OTA updates, and rapid problem

Qualifications

• Hands-on embedded work experience in hardware
• Experience chasing intermittent field failures in deployed hardware
• Ability to ship quick recovery fixes under pressure
• Experience analyzing telemetry and logs to identify root causes

Responsibilities

• Keep deployed fleet of vehicle scanners in the field running smoothly
• Investigate intermittent hardware failures using logs, telemetry and bench tools
• Provide clear findings to design team and implement retrofits or fixes

Skills

Embedded systems

Failure analysis

Telemetry

Diagnostics tooling

Field repair

Tools

Bench tools

Diagnostic scripts

Job description

Senior Embedded Field Reliability Engineer

Engineering · Salt Lake City · FullTime · Senior level

This role is about keeping an already deployed fleet of vehicle scanners working in the field, not designing the next version. A strong candidate has years of hands on embedded work and has chased down intermittent failures in hardware that is already out in the world, using logs, telemetry and bench tools. They also need to be practical under pressure, shipping quick recovery fixes and simple retrofits while feeding clear findings back to the design team.

How it fits the AI era

The core of the job is physical hardware reliability, which AI does not replace: tracing power problems, grounding, thermal faults and camera link issues still needs hands on a scope. AI helps at the edges, speeding up log analysis, failure pattern spotting and diagnostic tooling, and the posting lists AI coding tools as a plus. The human judgment stays in deciding what to fix first and what a field tech can safely install.

How it builds AI experience

Working here means gaining experience with computer vision hardware in real insurance and repair settings, where scanner data feeds damage assessment. A candidate can build relevant AI experience by using coding assistants for diagnostic scripts and by learning how telemetry from camera based devices is collected and analyzed. That grounding in real deployed vision systems is useful preparation for this kind of field reliability work.

Worth showing

• Intermittent failure root cause
• Watchdog and rollback recovery
• Fleet telemetry and OTA

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Tractable

Tractable develops computer vision models to assess automotive damage and automate insurance appraisals, per the company.