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Remote Automotive Embedded Systems Jobs in California

unspun™

Senior Embedded Software Engineer

Emeryville, CA · On-site +1

$170K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Senior Embedded Software Engineer at unspun We are looking for a hands-on, execution-driven Senior ... remote debugging) * Experience with electro-mechanical systems and industrial robotics Our Culture ...

General Motors

Embedded Software Engineer

Sunnyvale, CA · On-site +1

$123K - $189K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with safety critical development (FDA, FAA, Automotive) * Experience with embedded build systems, such asbuildrootoryocto. * Experience working with Camera or other sensors like radars ...

New

Brex

Staff Product Manager, Embedded

San Francisco, CA · On-site +1

$280K - $350K/yr

As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Own the ... Technical fluency in APIs, data models, distributed or financial systems, and architecture ...

MatX

Rust SW-Silicon Co-verification Engineer

Mountain View, CA · On-site +1

$175K - $362K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with hardware in any capacity - FPGA projects, embedded systems, robotics, or prior ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

Viasat, Inc.

Software Architect

Carlsbad, CA · On-site +1

$205K - $307K/yr

Strong background in one or more of: embedded systems, networking, security * Learning Agility ... remote management and operations * Practical experience with leveraging AI tooling to drive ...

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All JobsAutomotive Embedded Systems JobsRemote Automotive Embedded Systems JobsRemote Automotive Embedded Systems Jobs in California

Remote Automotive Embedded Systems information

What is the difference between Remote Automotive Embedded Systems vs Remote Automotive Software Engineer?

AspectRemote Automotive Embedded SystemsRemote Automotive Software Engineer
CredentialsEmbedded systems certifications, engineering degreesSoftware development degrees, coding certifications
Work EnvironmentHardware integration, embedded device testingCode development, software testing
Industry UsageAutomotive manufacturing, hardware designVehicle software, application development
Search & ComparisonEmbedded systems roles, hardware-focused jobsSoftware development roles, coding jobs

Remote Automotive Embedded Systems professionals focus on designing and testing hardware-software integration within vehicles, requiring embedded systems expertise. In contrast, Remote Automotive Software Engineers primarily develop vehicle software applications, emphasizing coding and software architecture. Both roles are essential in automotive tech but differ in their focus on hardware versus software development.

What are the most commonly searched types of Automotive Embedded Systems jobs in California?

The most popular types of Automotive Embedded Systems jobs in California are:

What are popular job titles related to Remote Automotive Embedded Systems jobs in California?

For Remote Automotive Embedded Systems jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Automotive Embedded Systems jobs in California look for?

The top searched job categories for Remote Automotive Embedded Systems jobs in California are:

What cities in California are hiring for Remote Automotive Embedded Systems jobs?

Cities in California with the most Remote Automotive Embedded Systems job openings:

Remote Automotive Embedded Systems jobs near you
Infographic showing various Remote Automotive Embedded Systems job openings in California as of June 2026, with employment types broken down into 92% Full Time, 3% Part Time, 4% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Staff Engineer, Core Platform Integration (R5411)

Shield AI

San Diego, CA • On-site, Remote

$190K - $290K/yr

Full-time

Posted 23 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
Build the foundation for the next generation of autonomous systems. In this role, you'll develop and integrate the core software and platform infrastructure that powers mission-critical technology, working across teams to deliver reliable, scalable solutions from development through deployment.
What you'll do:
  • Own platform integration across SIL, HIL, VIL, and edge deployment workflows, ensuring components work together reliably and are easy for developers to use.  
  • Build and maintain reference work spaces, platform reference implementations, and tooling that accelerate development, testing, deployment, and validation.  
  • Integrate platform-level software across hardware, sensors, controllers, APIs, configuration, orchestration, and fleet/device management systems.  
  • Support embedded platform bring-up and hardware diversification across developer boards, iron birds, aircraft/vehicle test platforms, and other reference hardware.  
  • Improve platform stability, API quality, developer experience, and system scalability for mission-critical product and customer commitments.  
  • Partner with autonomy, hardware, product, and program teams to identify integration gaps and deliver durable solutions. 
Required qualifications:
  • 5+ years experience with strong software engineering experience in robotics, autonomy, embedded systems, distributed systems, or similarly complex platforms.
  • Strong experience with C++ and Python and experience building developer tools, configuration systems, orchestration frameworks, or automation.
  • Experience integrating and debugging software across Linux-based systems, hardware interfaces, deployment environments, and APIs, including use of measurement or diagnostic tools such as oscilloscopes, logic analyzers, or protocol analyzers to debug embedded communication interfaces.
  • B.S. or Master’s degree in Engineering, Computer Science, or related field
  • Ability to work independently in ambiguous technical areas and drive cross-functional integration efforts to completion.  
  • Strong communication and collaboration skills
Preferred qualifications:
  • Experience with SIL, HIL, and VIL workflows for autonomy, robotics, aerospace, automotive, or defense systems.  
  • Experience with embedded Linux, BSP development, build systems, device trees, bootloaders, or hardware bring-up.  
  • Experience with edge deployment, device discovery, fleet management, OTA workflows, or application deployment to remote devices.  
  • Experience with platforms such as Jetson, Qualcomm, i.MX8, or similar embedded compute hardware.  
  • Experience integrating sensor drivers, controller interfaces, vehicle interfaces, hardware abstraction layers, or reference test platforms.
#LI-DM2
#LD

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.