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Manager Adas Engineer Jobs (NOW HIRING)

Astemo Ltd

ADAS Engineer

Farmington Hills, MI · On-site

... Senior Engineer to own the deployment and optimization of AI/ML workloads, including ADAS ... Manage and evaluate trade-offs across accuracy, latency, throughput, memory footprint, and energy ...

Astemo

ADAS Engineer

Farmington Hills, MI

... Senior Engineer to own the deployment and optimization of AI/ML workloads, including ADAS ... Manage and evaluate trade-offs across accuracy, latency, throughput, memory footprint, and energy ...

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How much do manager adas engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for manager adas engineer in the United States is $61,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $69,000.00 per year, depending on experience, location, and employer.

What is a Manager ADAS Engineer?

A Manager ADAS (Advanced Driver Assistance Systems) Engineer leads a team of engineers in the design, development, and implementation of ADAS technologies, which enhance vehicle safety and automation features. This role involves overseeing project timelines, ensuring adherence to safety standards, and collaborating with cross-functional teams to integrate ADAS solutions into vehicles. The manager is responsible for both the technical and organizational aspects of the team’s work, including mentoring engineers and coordinating with suppliers or partners. Strong leadership, technical expertise in sensors and algorithms, and experience in the automotive industry are essential for this position.

How does a Manager ADAS Engineer typically collaborate with cross-functional teams to deliver advanced driver-assistance systems projects?

A Manager ADAS Engineer regularly collaborates with cross-functional teams, including hardware engineers, software developers, system architects, and quality assurance specialists, to ensure successful delivery of ADAS projects. This role often involves facilitating communication between departments, aligning project milestones, and resolving technical challenges that arise during development and testing. Effective collaboration is essential to integrate components seamlessly and meet regulatory and safety standards. Regular meetings, progress updates, and joint problem-solving sessions are common in this dynamic work environment.

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

To thrive as a Manager ADAS Engineer, you need a deep understanding of advanced driver-assistance systems, automotive engineering principles, and experience in team leadership, often supported by a degree in electrical, mechanical, or computer engineering. Familiarity with tools such as MATLAB/Simulink, CAN, ADAS simulation platforms, and certifications like ISO 26262 functional safety are typically required. Strong project management, problem-solving abilities, and effective communication are crucial soft skills for leading cross-functional teams and ensuring project success. These competencies are vital to delivering innovative, safe, and reliable ADAS solutions while meeting industry standards and project timelines.
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Manager Adas Engineer jobs near you
Infographic showing various Manager Adas Engineer job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 93% Full Time, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $61,351 per year, or $29.5 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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