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Manager Adas Engineering 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 ... Manage and evaluate trade-offs across accuracy, latency, throughput, memory footprint, and energy ...

Comrise

Senior DevOps Engineer

Palo Alto, CA · On-site

$90 - $95/hr

... teams, ADAS engineering (19+ engineers, scaling), and platform teams to maintain uptime ... Deploy, manage, and scale AWS infrastructure (S3, Aurora/Postgres, IAM, Route 53, WAF, CloudFront ...

Ford Motor Company

ADAS Systems Engineer

Dearborn, MI · On-site

$92K - $126K/yr

The ideal candidate will have a strong background in automotive systems engineering, experience ... Conduct performance tuning, memory management, and debugging to ensure efficient operation within ...

Ford Motor Company

ADAS Systems Engineer

Dearborn, MI · Hybrid

$99K - $192K/yr

Bachelor's degree in Engineering or Computer Science. * 3+ years of experience in systems ... management leases Tuition assistance Established and active employee resource groups Paid time off ...

Stellantis

ADAS Design Release Engineer

Auburn Hills, MI · On-site

$38 - $43.50/hr

... Driver Assist (ADAS) components - long/short range radar, cameras (human/machine vision ... engineering change management, requirements clarification and cross-functional team alignment ...

PACCAR

ADAS Development Engineer

Denton, TX · On-site

Provide engineering assistance, perform problem resolution, training and other engineering duties ... Demonstrated ability to manage multiple deliverables, drive defect resolution, and meet program ...

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How much do manager adas engineering jobs pay per year?

As of Jun 5, 2026, the average yearly pay for manager adas engineering in the United States is $146,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager ADAS Engineering, and why are they important?

To thrive as a Manager ADAS Engineering, you need expertise in automotive engineering, advanced driver assistance systems (ADAS) technologies, and leadership experience, typically supported by a relevant engineering degree. Familiarity with tools like MATLAB/Simulink, CANoe, and experience with automotive safety standards such as ISO 26262 are usually required. Strong project management, communication, and team leadership skills help in coordinating multidisciplinary teams and driving innovation. These abilities ensure the successful development, integration, and deployment of complex ADAS solutions in a highly competitive automotive market.

How does a Manager ADAS Engineering typically collaborate with cross-functional teams during the development of advanced driver-assistance systems?

A Manager ADAS Engineering regularly works with cross-functional teams, including software developers, hardware engineers, product managers, and quality assurance specialists, to ensure seamless integration of ADAS features. They facilitate communication between departments, align project milestones, and resolve technical challenges that span multiple domains. This collaborative approach is essential for meeting performance, safety, and regulatory standards while delivering innovative solutions. Effective managers also mentor team members and foster a culture of continuous improvement.

What are Manager ADAS Engineering roles and responsibilities?

A Manager ADAS (Advanced Driver Assistance Systems) Engineering leads teams responsible for designing, developing, and implementing ADAS technologies in vehicles. Their main duties include overseeing project timelines, coordinating with cross-functional teams, ensuring compliance with industry standards, and managing system integration and validation processes. They also mentor engineers, allocate resources, and collaborate with stakeholders to ensure the successful delivery of ADAS features such as lane-keeping, adaptive cruise control, and automated emergency braking.
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Manager Adas Engineering jobs near you
Infographic showing various Manager Adas Engineering job openings in the United States as of May 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution, with an average salary of $146,868 per year, or $70.6 per hour.

ADAS Engineer

Astemo Ltd

Farmington Hills, MI • On-site

Full-time

Posted 7 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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