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Date Added: Wed 16/04/2025

ADAS Engineer

Gaydon, CV35, UK
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Company: APEX RESOURCE MANAGEMENT

Job Type: Contract, Full Time

Salary: £33.88/hour

Job Title: ADAS Engineer
Location: Gaydon
Employment Type: Contract

Salary: £33.88/hour (umbrella rate)

We are seeking a highly skilled and motivated ADAS Engineer to join our team. This is a specialist-level position ideal for someone with deep technical expertise and a passion for shaping the future of self-driving technology.

About the Role

You will be responsible for the design, development, and testing of autonomous or self-driving vehicles, working on advanced systems that enhance vehicle perception, prediction, tracking, and motion planning capabilities. You'll play a key role in building and refining machine learning features, as well as developing control and diagnostic strategies for automated driving.

Key Responsibilities

Design and implement machine learning features for autonomous driving systems.
Develop and refine vehicle perception, prediction, tracking, and motion planning algorithms.
Build and maintain control and diagnostic strategies related to self-driving functionality.
Create Simulink models and develop functional requirements documentation and test cases.
Lead and manage large projects or technical processes with minimal oversight.
Provide coaching and mentorship to junior engineers and team members.
Solve complex engineering problems and deliver innovative solutions in a fast-paced environment.
About You

Recognized subject matter expert in autonomous vehicle systems or a closely related field.
Typically gained through advanced education and significant industry experience.
Proven track record in managing complex technical projects.
Strong communication and collaboration skills, with the ability to mentor and guide others.
Proficient in systems engineering, algorithm development, and simulation/model-based design.
Preferred Experience

Strong background in autonomous driving technologies.
Expertise in Simulink and model-based design.
Experience with perception and sensor fusion, AI/ML, or control systems for ADAS or AV platforms
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