Vehicle Support Engineer - HMI Systems

WEALTH RECRUITMENT LLC
San Mateo, CA, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Compensation
$156,000.0
Working hours
Regular working hours

Tech stack

Board Bringup Android Software Development Sound Recording and Reproduction Communications Protocols Computer Networks Computer Engineering Software Debugging Linux Ethernet Firmware Human-Computer Interaction Python (Programming Language)
+6 more
Log Files Parsing Socket Programming Software Engineering Transmission Control Protocol (TCP) Visual Systems

Job description

As a Fleet Support Engineer focused on Human Machine Interface (HMI) and passenger experience systems, you’ll play a critical role in keeping our autonomous fleet operational, reliable, and customer-ready. You’ll be the technical authority for diagnosing, resolving, and preventing issues that impact in-vehicle displays, audio/visual systems, cameras, and cabin interaction modules.

This role is ideal for a hands-on engineer who thrives in real-time operational environments, enjoys deep technical problem-solving, and collaborates seamlessly across Hardware, Software, and Operations teams.

What You’ll DoTechnical Escalation & Fleet Support

  • Serve as the primary technical escalation point for HMI-related issues, including passenger displays, audio/visual alerts, interior cameras, and cabin interaction modules.
  • Provide real-time troubleshooting support to maintain fleet uptime, including on-call coverage during nights and weekends as needed.

Root Cause Analysis & Sustaining Engineering

  • Conduct deep root-cause analysis using Linux/Android system logs and electrical diagnostics to resolve complex hardware and software failures.
  • Lead sustaining engineering efforts by reviewing historical fleet data to identify failure trends such as ghost touch events, display blackouts, and audio latency, and drive permanent corrective actions.

Validation, Bring-Up & Tooling

  • Execute hardware bring-up, functional validation, and verification for new HMI components, firmware, and software releases.
  • Partner closely with HMI and Software Engineering teams to improve diagnostic tooling and increase failure-mode visibility in the field.

Documentation & Knowledge Sharing

  • Develop, maintain, and continuously improve troubleshooting guides and workflows to enable faster, more independent issue resolution by field technicians.
  • Define and capture critical data points to validate fixes and measure the effectiveness of corrective actions.

Travel

  • Occasionally travel within the U.S. to support fleet operations at various locations.

Requirements

  • Minimum 4 years of relevant experience in automotive, consumer electronics, or autonomous vehicle systems, with a focus on infotainment, display technologies, or cockpit electronics.
  • Bachelor’s degree in Electrical Engineering, Computer Engineering, or a related field.

Technical Skills

  • Hands-on experience troubleshooting LVDS, Ethernet, CAN, and LIN communication protocols.
  • Familiarity with LCD/OLED displays, touch controllers, and audio amplifiers.
  • Ability to read and interpret schematics, electrical diagrams, connector pinouts, and end views to distinguish wiring issues from component failures.
  • Strong understanding of hardware/software interaction, including how operating systems drive displays and peripheral devices.

Problem Solving & Collaboration

  • Demonstrated ability to take a holistic approach to diagnosing system-level issues and driving resolution down to individual components.
  • Self-starter with strong communication skills and the ability to build productive relationships across Engineering and Operations teams.

Preferred Qualifications

  • Experience with Android Automotive or Linux-based infotainment systems.
  • Experience supporting remote vehicle troubleshooting.
  • Knowledge of vehicle systems and Unified Diagnostic Services (UDS).
  • Proficiency with Linux and Python for parsing and analyzing large log files.
  • Familiarity with networking concepts, including TCP and socket programming.
  • Experience with audio system tuning or debugging.

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