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Software Engineering Manager - Firmware

Applied Intuition· Vehicle OS
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Sunnyvale$280k - $355kFull-timePosted 3w ago

About the role

Engineering Manager to lead the Firmware team within the Vehicle OS organization, overseeing architecture, development, and integration of foundational embedded systems for the Vehicle OS platform in automotive contexts.

Responsibilities

  • Lead, mentor and grow a team of firmware and embedded software engineers
  • Architect and develop robust, low-level software for the Vehicle OS platform
  • Oversee development and maintenance of embedded C/C++ codebases, code reviews, and system-level debugging
  • Collaborate across hardware and software engineering teams to design, bring up, and validate new platforms
  • Ensure successful delivery of cutting-edge RTOS, Linux kernel, and hardware abstraction layers for automotive devices
  • Partner closely with and cross-functional leaders to execute on new features and platform initiatives

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or equivalent from a top program (Stanford, Berkeley, CMU, Waterloo, or similar)
  • 8+ years of experience architecting and shipping production embedded/firmware software
  • Experience shipping complex firmware or embedded software in production, ideally for automotive or consumer electronics
  • Strong background in embedded C/C++, RTOS implementation, Linux kernel, and low-level driver/HAL development
  • Hands-on hardware integration and debugging experience
  • Experience with platform bring-up, sensors integration, and HW/SW co-design
  • Proven ability to manage, mentor, and grow technical teams

Skills

Required:Embedded C/C++

Benefits

  • Equity in compensation
Last updated Oct 11, 2026. Interested? Apply on the company site.

About Applied Intuition

Building vehicle intelligence | Applied Intuition

Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.

AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development

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