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Remote Automotive Embedded Systems Jobs (NOW HIRING)

This role sits at the intersection of open-source innovation, embedded systems engineering, and ... Fully remote-first work environment with global flexibility. * Annual learning and development ...

Familiarity with the product development lifecycle for digital products, embedded systems, or automotive experiences. #LI-VC1 GM does not provide immigration-related sponsorship for this role. Do not ...

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Remote Automotive Embedded Systems information

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$62.5K

$137.3K

$192K

How much do remote automotive embedded systems jobs pay per year?

As of Jul 11, 2026, the average yearly pay for remote automotive embedded systems in the United States is $137,274.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $163,500.00 per year, depending on experience, location, and employer.

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.

More about Remote Automotive Embedded Systems jobs
What cities are hiring for Remote Automotive Embedded Systems jobs? Cities with the most Remote Automotive Embedded Systems job openings:
What are the most commonly searched types of Automotive Embedded Systems jobs? The most popular types of Automotive Embedded Systems jobs are:
What states have the most Remote Automotive Embedded Systems jobs? States with the most job openings for Remote Automotive Embedded Systems jobs include:
Infographic showing various Remote Automotive Embedded Systems job openings in the United States as of July 2026, with employment types broken down into 88% Full Time, 10% Part Time, 1% Contract, and 1% Nights. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $137,274 per year, or $66 per hour.
Virtualization Engineer - SIL / Virtual ECU (Automotive)

Virtualization Engineer - SIL / Virtual ECU (Automotive)

Stellantis

Auburn Hills, MI • On-site, Remote

Full-time

Posted 9 days ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 127 frontline employees who took The Breakroom Quiz

15th of 44 rated automakers


Job description

About the Role
We are seeking a Virtualization Engineer to develop and scale Software-in-the-Loop (SIL) and Virtual ECU environments that enable earlier integration, faster regression testing, and higher-quality software releases. This role supports software-defined vehicle development and propulsion control systems innovation.
Key Responsibilities
  • Design, build, andmaintainSoft ECU / Virtual ECU solutions for propulsion controllers
  • Develop,operate, andoptimize SIL environments including integration, execution, and reporting
  • Automate virtual testing workflows including build support, execution, and regression reporting
  • Troubleshoot integration issues across toolchains, interfaces, and models
  • Partner with software, controls, systems, and validation teams to define requirements and increase adoption

Basic Qualifications:
  • Bachelor's degree in Electrical, Computer, Mechanical Engineering, Computer Science, or related field.
  • 5+ years in automotive/embedded virtualization (MIL/SIL/HIL, ECU virtualization).
  • Experience with virtualization/co-simulation tools (dSPACE/ETAS/Vector or similar).
  • Strong systems thinking, debugging skills, and experience integrating virtual ECUs with virtual networks/interfaces.
  • Experience working cross-functionally in an Agile delivery environment.

Preferred Qualifications:
  • Propulsion or electrified powertrain experience.
  • Familiarity with Linux and scripting (Python), Git-based workflows, and automated regression practices.
  • CAN/LIN/Ethernet concepts and related debugging/analysis tools.
  • Simulink/MBD, FMI/FMU, plant modeling exposure.
  • CI/CD tools and Docker familiarity.

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