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Remote Automotive Embedded Software Engineer Jobs in Michigan

Kiongroup

Professional Software Engineer

Grand Rapids, MI · Remote

$102K - $128K/yr

Maintain flexibility to support remote collaboration and evolving business priorities as needed. Required Qualifications * Bachelor's degree in Computer Science, Software Engineering, Information ...

Kiongroup

Professional Software Engineer

Grand Rapids, MI · Remote

$102K - $128K/yr

Maintain flexibility to support remote collaboration and evolving business priorities as needed. Required Qualifications * Bachelor's degree in Computer Science, Software Engineering, Information ...

Utilidata

Software Engineer, On Device

Ann Arbor, MI · On-site +1

$120K - $150K/yr

... for embedded systems, and deployment in real-world, intermittently connected environments ... remote work. Our Commitments: Utilidata values the diversity of our team. We provide equal ...

micro1 AI

AI Software Engineering Consultant

Detroit, MI · Remote

$100 - $230/hr

Remote Job Summary: We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for ...

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Remote Automotive Embedded Software Engineer information

What are the key skills and qualifications needed to thrive as a Remote Automotive Embedded Software Engineer, and why are they important?

To thrive as a Remote Automotive Embedded Software Engineer, you need a strong background in computer science, embedded systems, and automotive standards like AUTOSAR, usually supported by a relevant degree. Familiarity with programming languages such as C/C++, real-time operating systems (RTOS), and tools like CANoe, MATLAB/Simulink, and version control systems is essential. Excellent problem-solving, communication, and self-motivation are critical soft skills, especially in a remote work environment. These skills ensure the reliable development of automotive software, effective remote collaboration, and compliance with industry safety and quality standards.

What is a Remote Automotive Embedded Software Engineer?

A Remote Automotive Embedded Software Engineer is a professional who designs, develops, tests, and maintains software systems embedded within vehicles, such as control units, infotainment systems, and safety features, while working from a remote location. They use programming languages like C or C++ to create real-time applications that interact with automotive hardware. These engineers collaborate with teams virtually and often follow automotive standards such as AUTOSAR and ISO 26262 to ensure quality and safety. Their work is crucial to the advancement of connected and autonomous vehicles.

What are some common challenges faced by Remote Automotive Embedded Software Engineers, and how can they be addressed?

Remote Automotive Embedded Software Engineers often encounter challenges such as effective communication with cross-functional teams, managing hardware access remotely, and ensuring real-time debugging. To address these, engineers typically leverage collaboration tools for regular check-ins, utilize remote access hardware labs or simulators, and maintain thorough documentation. Strong time management and proactive communication are essential to stay aligned with project milestones and quickly resolve technical issues.

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

AspectRemote Automotive Embedded Software EngineerRemote Automotive Control Systems Engineer
Required CredentialsBachelor's in Electrical, Computer Engineering, or related field; experience with embedded programmingBachelor's in Electrical, Mechanical, or Systems Engineering; knowledge of control algorithms
Work EnvironmentDevelops software for vehicle ECUs, often in collaboration with hardware teamsDesigns and tests vehicle control systems, integrating hardware and software
Industry UsageCommonly employed in automotive OEMs and suppliers focusing on embedded softwareUsed in automotive OEMs and Tier 1 suppliers focusing on control system development

Both roles involve working in the automotive industry with a focus on vehicle systems. The Embedded Software Engineer primarily develops software for vehicle ECUs, while the Control Systems Engineer designs and tests control algorithms. They share similar credentials and work environments but differ in their specific focus areas within automotive system development.

What are the most commonly searched types of Automotive Embedded Software Engineer jobs in Michigan? The most popular types of Automotive Embedded Software Engineer jobs in Michigan are:
What are popular job titles related to Remote Automotive Embedded Software Engineer jobs in Michigan? For Remote Automotive Embedded Software Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Automotive Embedded Software Engineer jobs in Michigan look for? The top searched job categories for Remote Automotive Embedded Software Engineer jobs in Michigan are:
What cities in Michigan are hiring for Remote Automotive Embedded Software Engineer jobs? Cities in Michigan with the most Remote Automotive Embedded Software Engineer job openings:
Remote Automotive Embedded Software Engineer jobs near you
Senior Software Engineer AI Evaluator

Senior Software Engineer AI Evaluator

micro1 AI

Detroit, MI • Remote

$100 - $230/hr

Part-time

Posted 23 days ago

Job description

Job Title: Senior Software Engineer


Job Type: Contractor (~15 hrs a week)


Location: Remote


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


We are seeking strong Software Engineers to join our customer's team with expertise in Python3, Java, Rust, Go, C++, or TypeScript. This is a unique opportunity to directly impact the next generation of AI by leveraging your advanced engineering skills in a dynamic, remote setting.


As an expert you will be creating Reinforcement Learning Environments which test and AI model’s ability to solve complex software engineering problems related to fixing code, creating features, refactoring code and optimizing performance. You will be tasked with creating a reproducible environment and golden reference solution for the problem.




Required Skills and Qualifications:

  1. Proficiency in Python3, Java, Rust, or TypeScript, with additional experience in C++ or Go considered a strong asset.
  2. Deep understanding of algorithms, data structures, and performance tuning.
  3. Demonstrated experience in debugging complex software issues and delivering maintainable solutions.
  4. Strong background in feature development and codebase refactoring.
  5. Proven ability to optimize software for performance and scalability.
  6. Exceptional written and verbal communication skills, with a keen attention to detail.
  7. Track record of success in collaborative, cross-functional teams, ideally in remote settings.



Preferred Qualifications:

  1. Previous experience working on large-scale, distributed codebases.
  2. Familiarity with modern AI or machine learning systems is a plus, though not required.
  3. Background in participating in rigorous code reviews and contributing to the development of software best practices.


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.



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