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Adas Engineer Jobs (NOW HIRING)

Astemo Ltd

ADAS Engineer

Farmington Hills, MI · On-site

Engineering Position Overview and Objective Astemo's Advanced Development Division is hiring a Senior Engineer to own the deployment and optimization of AI/ML workloads, including ADAS perception ...

Astemo

ADAS Engineer

Farmington Hills, MI

Engineering Position Overview and Objective Astemo's Advanced Development Division is hiring a Senior Engineer to own the deployment and optimization of AI/ML workloads, including ADAS perception ...

Stellantis

ADAS Software Developer

Auburn Hills, MI · On-site

The ADAS Software Developer is responsible for designing and developing ADAS software modules-either using model-based approaches or C++-and for defining software requirements at the subsystem level.

Lucid Motors

ADAS Data Engineer

Newark, CA

$154K - $211K/yr

We are seeking a skilled ADAS Sensor Data Engineer to join our innovative automotive technology team. The ideal candidate will have a strong background in working with various sensor data, including ...

Stellantis

ADAS Design Release Engineer

Auburn Hills, MI · On-site

$38 - $43.50/hr

Work closely with ADAS Functional Integration engineers and cross-functional teams to execute and validate complex ADAS systems. Basic Qualifications: * Bachelor of Science in Electrical Engineering ...

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$38K

$90.5K

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How much do adas engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for adas engineer in the United States is $90,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $100,000.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $500,000 or more annually, especially with experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in large tech companies or energy firms.

What are the key skills and qualifications needed to thrive in the Adas Engineer position, and why are they important?

To thrive as an ADAS Engineer, you need a solid background in electrical engineering, computer science, or a related field, with expertise in sensor fusion, computer vision, and embedded systems. Familiarity with programming languages such as C++, Python, and tools like MATLAB/Simulink, as well as knowledge of automotive communication protocols and ISO 26262 safety standards, is highly beneficial. Effective problem-solving skills, attention to detail, and strong teamwork and communication abilities distinguish exceptional candidates. These skills enable ADAS Engineers to design, develop, and integrate advanced driver-assistance technologies that ensure vehicle safety and performance.

What is an ADAS Engineer job?

An ADAS (Advanced Driver Assistance Systems) Engineer is responsible for developing, testing, and optimizing technologies that enhance vehicle safety and automation. They work on systems like adaptive cruise control, lane-keeping assistance, and collision avoidance. Their role involves sensor integration, algorithm development, and software validation to improve driving assistance technologies. ADAS Engineers collaborate with cross-functional teams to ensure compliance with safety regulations and industry standards.

What are some typical daily responsibilities of an ADAS Engineer?

As an ADAS Engineer, your day-to-day tasks often involve designing, testing, and calibrating advanced driver-assistance systems to ensure optimal performance and safety. You might work closely with multidisciplinary teams including software developers, hardware engineers, and quality assurance specialists to integrate sensor technologies like cameras, radar, and lidar into vehicle platforms. Daily activities frequently include troubleshooting and debugging system issues, analyzing sensor data, and validating system features through simulation and real-world testing. Collaboration and effective communication are essential, as you’ll regularly interact with cross-functional groups to solve technical challenges and implement new functionalities.

What does an ADAS engineer do?

An ADAS engineer designs, develops, and tests advanced driver-assistance systems that enhance vehicle safety and automation, such as collision avoidance, lane keeping, and adaptive cruise control. They work with sensors, cameras, and software algorithms, often using tools like MATLAB and automotive testing environments, to ensure system reliability and compliance with safety standards.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain aerospace engineering roles can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership responsibilities. High compensation often involves working in high-demand industries, holding advanced degrees, or obtaining professional certifications.

Is ADAS a good career?

An ADAS Engineer designs and develops advanced driver-assistance systems, which are critical for vehicle safety and automation. The field offers growth opportunities due to increasing adoption of autonomous and semi-autonomous vehicles, requiring skills in sensors, software, and automotive systems. It is considered a promising career path for those interested in automotive technology and innovation.
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Adas Engineer jobs near you
Infographic showing various Adas Engineer job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $90,538 per year, or $43.5 per hour.

ADAS Engineer

Astemo Ltd

Farmington Hills, MI • On-site

Full-time

Posted 23 days ago

Job description

Company Name:
ASTEMO AMERICAS, INC.
Job Family:
Engineering
Job Description:
Position Overview and Objective
Astemo's Advanced Development Division is hiring a Senior Engineer to own the deployment and optimization of AI/ML workloads, including ADAS perception models, LLMs, and Vision-Language-Action (VLA) models, on embedded automotive SoCs. The engineer will work across multiple areas as priorities evolve and is expected to contribute to both current development needs and emerging software initiatives.
Job Responsibilities:
  • Deploy and optimize AI/ML models on embedded automotive SoCs to meet performance, memory, and efficiency targets.
  • Apply advanced model optimization techniques while preserving accuracy and intended behavior.
  • Profile inference pipelines and tune workloads (kernels and model graphs) across heterogeneous compute resources for real-time use.
  • Develop orchestration and scheduling approaches for AI workloads across heterogeneous compute resources under real-time and power/thermal constraints.
  • Diagnose deployment-related issues and define validation approaches to evaluate new techniques.
  • Manage and evaluate trade-offs across accuracy, latency, throughput, memory footprint, and energy consumption; produce data-driven recommendations.
  • Collaborate with cross-functional teams to transition advanced work into the production stack.

Qualifications:
  • Knowledge of AD/ADAS systems and automotive hardware platforms.
  • Solid understanding of deep learning fundamentals and the numerical behavior of neural networks.
  • Hands-on experience with major ML frameworks and inference runtimes.
  • Practical experience with model compression techniques and the associated accuracy/performance trade-offs.
  • Working knowledge of embedded SoC architectures and their implications for ML workload performance.
  • Strong programming proficiency in C/C++ (modern C++ preferred) and Python.
  • Familiarity with profiling tools and a structured approach to performance analysis.
  • Exposure to low-level optimization techniques for AI workloads on embedded accelerators.
  • Flexibility and willingness to work across multiple software layers as project needs evolve.
  • Excellent communication and presentation skills, with the ability to influence and persuade stakeholders at all levels of the organization.

Additionally, the ability to work independently with minimal direction is required as are strong verbal and written communication skills. Experience with PCs and application software, such as MS Office tools, is also required.
Education: Master's or Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
Experience: Minimum of 5+ years with Masters and 1+ years with Ph.D. or relevant industrial experience is required.
Job level is determined by various factors such as organization size, responsibility, career stage, and capabilities.
Supervisory Responsibilities: n/a
Working conditions:
Physical Demands: Required to sit or stand for long periods of time. The employee may occasionally lift and/or move up to 25 pounds.
Travel: Domestic and international may be required as needed. The candidate will occasionally need to travel to multiple global locations to support project development
Equal Opportunity Employer (EOE) - Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender, identity, disability, protected veteran status and national origin.
At Astemo, we're challenging the status quo with the power of diversity, inclusion, and collaboration. Our goal is to build an inclusive work environment that celebrates the differences of our employees. We want to ensure that every employee feels valued, respected and empowered. We don't just accept difference-we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community. Astemo is proud to be an equal opportunity employer.
If you need a reasonable accommodation to apply for a job at Astemo, please send the nature of the request and contact information to am-jobs@hitachiastemo.com when applying for the position.

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