Drimva

ALTEN Technology

Embedded Software Engineer, Vehicle Access

$150K–$170K

Palo Alto, California, United States +1 · Full-time · Posted Sep 28, 2026

Location
Palo Alto, California, United States
Irvine, California, United States
Experience
8+ years of professional experience developing embedded software.
Education
Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or related field.

About the job

Own and develop embedded vehicle access authentication and customer-facing functions, from architecture through vehicle integration and post-launch support.

What you'll do

  • Implement vehicle access authentication and functions, including authorization, lock/unlock, start authorization, and remote functions for Digital Key and Key Card.
  • Architect, develop, integrate, and debug embedded software for automotive ECUs and real-time platforms using wireless technologies.
  • Collaborate across engineering teams and use AI-assisted tools for coding, review, debugging, documentation, and test generation, validating outputs against safety and security standards.

What they ask for

  • Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
  • 8+ years of professional experience developing embedded software.
  • Strong Embedded C and Python scripting and automation experience.
  • Hands-on experience with complex embedded software projects, industry standards such as CCC, wireless connectivity, automotive ECUs, and practical use of AI-assisted development tools.

Nice to have

  • Automotive CCC Digital Key or Key Card implementation; BCM or Vehicle Access ECU experience.
  • Cybersecurity, CAN, Automotive Ethernet, vehicle integration, embedded Linux or RTOS, ISO 26262, ASPICE, or MISRA experience.

Pay

$150,000 - 170,000 (base salary; currency not stated)

Tools

C, Python, Bluetooth, UWB, NFC, RF, VS Code, GitHub Copilot

AI focus

Use AI-assisted development tools for coding, code review, debugging, documentation, and test-case generation; critically validate AI output against automotive safety, security, and coding standards.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)