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Adas Software Engineer Jobs in Ohio (NOW HIRING)

$102.79 - $171.31/hr

Strong experience in V&V or test management for automated driving, robotics, or ADAS * Software engineering, development, and testing * Statistics, testing methodologies, and simulation environments

... ADAS) and active safety features in vehicles. The engineer will be responsible for working with ... software MATLAB or Python is preferred for data analysis Basic project management skills Working ...

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Adas Software Engineer information

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$60.4K

$140.3K

$195.4K

How much do adas software engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for adas software engineer in Ohio is $140,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,100.00 and $164,500.00 per year, depending on experience, location, and employer.

What is an ADAS software engineer?

An ADAS (Advanced Driver Assistance Systems) Software Engineer is a professional who designs, develops, and tests software for vehicle systems that assist drivers and enhance automotive safety. These engineers work on technologies such as adaptive cruise control, lane-keeping assistance, automatic emergency braking, and parking assistance. Their work involves programming algorithms, integrating sensors like cameras and radars, and ensuring the software meets safety and performance standards. ADAS Software Engineers often collaborate with hardware teams and conduct simulations or real-world testing to validate system functionality.

What are the key skills and qualifications needed to thrive as an ADAS software engineer?

To thrive as an ADAS Software Engineer, you need a strong background in computer science, software development, and knowledge of automotive systems, often supported by a degree in engineering or a related field. Familiarity with programming languages like C/C++, Python, and tools such as MATLAB, Simulink, and ROS, along with experience in sensor fusion and embedded systems, is typically required. Strong problem-solving skills, attention to detail, and the ability to collaborate within multidisciplinary teams help engineers stand out. These skills are crucial for developing reliable, safety-critical driver-assistance technologies that meet automotive standards.

How do ADAS software engineers typically collaborate with cross-functional teams during the development lifecycle?

ADAS Software Engineers often work closely with hardware engineers, data scientists, and system architects to ensure seamless integration of advanced driver-assistance features. Regular collaboration includes joint design reviews, troubleshooting sessions, and testing activities to align software functionalities with sensor capabilities and vehicle requirements. This teamwork is essential for developing robust, reliable, and safe ADAS solutions, and fosters a dynamic work environment where communication and problem-solving skills are highly valued.

Is Adas a good career?

An ADAS Software Engineer develops and tests advanced driver-assistance systems, which are integral to autonomous vehicle technology. The field offers growth opportunities due to increasing automotive automation and requires skills in software development, sensor integration, and real-time systems. It is considered a promising career path for those interested in automotive innovation and embedded systems.

What cities in Ohio are hiring for Adas Software Engineer jobs?

Cities in Ohio with the most Adas Software Engineer job openings:

Infographic showing various Adas Software Engineer job openings in Ohio as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $140,250 per year, or $67.4 per hour.

Embedded Software Test Lead for Global Automotive Company in Raymond, OH

OSI Engineering

Raymond, OH โ€ข On-site

Other

Re-posted 29 days ago


Job description

We are seeking an Embedded Software Test Lead to support a global automotive client in advanced research and prototype development. This role focuses on AI-driven vehicle technologies, embedded systems, and next-generation automotive platforms.

The ideal candidate brings a strong background in automotive software validation, thrives in ambiguous and research-oriented environments, and has a proven ability to develop test strategies for emerging technologies. This position will lead validation efforts across multiple concurrent projects while remaining hands-on in testing and automation.


Key Responsibilities

  • Lead test strategy development and validation activities across multiple automotive software and prototype projects
  • Define test approaches and methodologies for new and emerging vehicle technologies
  • Perform software, embedded, integration, regression, and edge-device testing
  • Support proof-of-concept (POC) and research-driven validation initiatives
  • Capture, analyze, and interpret CAN logs and vehicle communication data
  • Develop and maintain automated test scripts using Python and CAPL
  • Utilize automotive tools such as CANoe, CANalyzer, CANape, and dSPACE for testing and diagnostics
  • Validate applications running on SoC platforms, embedded Linux, and connected vehicle systems
  • Collaborate cross-functionally with software engineering, research teams, and vendors to identify and resolve complex issues
  • Drive defect analysis, root cause investigation, and continuous improvement of validation processes


Required Skills

  • 8+ years of automotive software validation experience
  • Proven experience developing test strategies and validation methodologies
  • Demonstrated ability to solve ambiguous and complex technical problems (experience in R&D, startup, or research environments strongly preferred)
  • Experience defining validation approaches for new or emerging technologies
  • Strong systems-thinking mindset with the ability to see end-to-end interactions
  • Ability to work independently in a research-oriented, fast-paced environment
  • Hands-on experience with automotive tools such as CANoe, CANape, dSPACE, CAPL
  • Strong programming and automation experience using Python
  • Solid background in embedded systems and vehicle communication protocols


Preferred / Nice-to-Have Skills

  • Experience with AI/ML testing or validation
  • Knowledge of data analytics and data pipelines
  • Familiarity with JavaScript
  • Experience with ADAS, autonomous systems, or advanced vehicle technologies
  • Exposure to SoC platforms, edge devices, and embedded Linux environments
  • Familiarity with platforms such as NVIDIA, Qualcomm, or Renesas
  • ISTQB and/or IREB certification
  • Experience supporting rapid prototyping or research-focused development environments