Camera Software & Embedded Systems Manager

Ford Model e U.S.

Palo Alto (CA)

Hybrid

USD 150,000 - 284,000

Full time

10 days ago
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Benefits offered by this job

Vehicle discount
Tuition assistance
Paid time off
Parental leave

Job summary

Ford Model e seeks a Camera Software Engineering Manager to own end-to-end delivery of in-vehicle camera features, aligning IVI software and embedded firmware across the full lifecycle. You will manage engineers and coordinate with Android, firmware, hardware/SoC, security, V&V, quality, and manufacturing teams to ship live video streaming, image capture, ML-powered features and object detection.

This leadership role requires 7–10 years in software, 3+ years leading teams, deep Linux and driver

Qualifications

  • 7–10 years of software engineering experience.
  • 3+ years leading or managing engineering teams that shipped products.
  • Familiarity with camera/video software, including pipelines, codecs and real-time systems.
  • Strong Linux fundamentals and driver integration.
  • Embedded/OS: C/C++, Linux, RTOS (Zephyr preferred), bootloaders and drivers.
  • IVI stack: Kotlin/Java, AAOS, Jetpack Compose, JNI.
  • Device-to-device vehicle comms (UDS, automotive Ethernet).
  • CI/CD, automated testing, and code-quality gates.

Responsibilities

  • Own end-to-end feature lifecycle from requirements to OTA release for IVI software and embedded firmware.
  • Lead cross-functional teams across Android, firmware, hardware/SoC, security, V&V, quality and manufacturing.
  • Deliver camera capabilities like live streaming, image capture, ML-powered features and object detection.

Skills

Software engineering
Team leadership
Camera/video software
Linux fundamentals
C/C++
IVI/AAOS stack
CI/CD
Cross-functional collaboration

Tools

ARM Cortex-M
Zephyr RTOS

Job description

Ford Model e seeks a Camera Software Engineering Manager to own end-to-end delivery of in-vehicle camera features, aligning IVI software and embedded firmware across the full lifecycle. You will manage engineers and coordinate with Android, firmware, hardware/SoC, security, V&V, quality, and manufacturing teams to ship live video streaming, image capture, ML-powered features and object detection.

This leadership role requires 7–10 years in software, 3+ years leading teams, deep Linux and driver

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