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For Companies At a Glance
- Tasks: Design and develop cutting-edge tech for self-driving vehicles.
- Company: Join a leading team at the forefront of autonomous vehicle innovation.
- Benefits: Enjoy competitive pay, flexible working arrangements, and opportunities for growth.
- Why this job: Be part of shaping the future of transport with impactful technology.
- Qualifications: Expertise in autonomous systems and strong project management skills required.
- Other info: Ideal for tech enthusiasts eager to mentor and lead in a dynamic environment.
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.
ADAS Engineer employer: Apex Resource Management Ltd
Contact Detail:
Apex Resource Management Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ADAS Engineer
✨Tip Number 1
Network with professionals in the autonomous vehicle industry. Attend relevant conferences, workshops, or meetups to connect with others who share your passion for ADAS technology. This can lead to valuable insights and potential job opportunities.
✨Tip Number 2
Showcase your technical skills through personal projects or contributions to open-source initiatives related to autonomous driving. This not only demonstrates your expertise but also highlights your commitment to the field, making you a more attractive candidate.
✨Tip Number 3
Stay updated on the latest trends and advancements in ADAS and autonomous driving technologies. Follow industry leaders on social media, subscribe to relevant publications, and participate in online forums to keep your knowledge current and relevant.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving scenarios related to machine learning, perception algorithms, and control systems. Familiarise yourself with common tools like Simulink, as hands-on experience can set you apart from other candidates.
We think you need these skills to ace ADAS Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience and skills relevant to ADAS engineering. Focus on your expertise in autonomous vehicle systems, machine learning features, and any projects you've led that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for self-driving technology and your technical expertise. Mention specific projects or experiences that demonstrate your ability to design and implement machine learning features and solve complex engineering problems.
Highlight Relevant Skills: In your application, emphasise your proficiency in Simulink, algorithm development, and systems engineering. Make sure to mention any experience you have with perception, sensor fusion, or AI/ML technologies as they are crucial for this role.
Showcase Leadership Experience: If you have experience managing projects or mentoring junior engineers, be sure to include this in your application. Highlighting your leadership skills will demonstrate your capability to take on the responsibilities outlined in the job description.
How to prepare for a job interview at Apex Resource Management Ltd
✨Showcase Your Technical Expertise
As an ADAS Engineer, it's crucial to demonstrate your deep technical knowledge. Be prepared to discuss specific projects you've worked on, particularly those involving machine learning features or autonomous vehicle systems. Highlight your experience with Simulink and model-based design.
✨Prepare for Problem-Solving Questions
Expect to face complex engineering problems during the interview. Practice articulating your thought process in solving these issues, as well as any innovative solutions you've implemented in past projects. This will showcase your ability to think critically and deliver results.
✨Emphasise Collaboration and Mentorship
Since the role involves coaching junior engineers, be ready to discuss your experience in mentoring and leading teams. Share examples of how you've successfully collaborated with others and contributed to a positive team environment.
✨Familiarise Yourself with Current Trends
Stay updated on the latest advancements in autonomous driving technologies and AI/ML. Being knowledgeable about current trends will not only impress your interviewers but also show your passion for the field and commitment to continuous learning.
