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- Tasks: Design and develop cutting-edge tech for self-driving vehicles.
- Company: Join a leading innovator in autonomous vehicle technology.
- Benefits: Enjoy an excellent package with opportunities for growth and development.
- Why this job: Be at the forefront of automotive innovation and make a real impact.
- Qualifications: Advanced education and experience in engineering required.
- Other info: Opportunity to manage projects and mentor junior professionals.
The predicted salary is between 48000 - 84000 £ per year.
Responsible for design, development, and testing of autonomous or self-driving vehicles. Designs and builds machine learning features for self-driving vehicles and improves its perception, prediction, tracking, and motion planning capabilities. Develops control and diagnostic strategies related to automated driving. Develops Simulink models, functional requirements documentation, and test cases.
Level: A Specialist Professional (P4) is a recognized subject matter expert in job area typically obtained through advanced education and work experience. Responsibilities typically include:
- Managing large projects or processes with limited oversight from manager.
- Coaching, reviewing and delegating work to lower level professionals.
- Problems faced are difficult and often complex.
Excellent package and opportunity.
Senior ADAS Engineer employer: Envisage Recruitment Limited
Contact Detail:
Envisage Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ADAS Engineer
✨Tip Number 1
Network with professionals in the autonomous vehicle industry. Attend relevant conferences, webinars, or local meetups to connect with others who work in ADAS and self-driving technology. This can help you learn about job openings and get referrals.
✨Tip Number 2
Stay updated on the latest trends and technologies in autonomous driving. Follow industry leaders on social media, read research papers, and subscribe to relevant newsletters. This knowledge can give you an edge during interviews.
✨Tip Number 3
Showcase your hands-on experience with Simulink and machine learning projects. If you have personal projects or contributions to open-source initiatives, be ready to discuss them in detail. Practical examples can demonstrate your expertise effectively.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving scenarios related to ADAS. Brush up on your knowledge of control strategies and diagnostic methods, as these are crucial for the role. Mock interviews can help you gain confidence.
We think you need these skills to ace Senior ADAS Engineer
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description for the Senior ADAS Engineer position. Familiarise yourself with the key responsibilities, such as designing machine learning features and developing control strategies for autonomous vehicles.
Tailor Your CV: Highlight your relevant experience in autonomous vehicle technology, machine learning, and project management. Make sure to include specific examples of past projects that demonstrate your expertise in these areas.
Craft a Compelling Cover Letter: Write a cover letter that connects your skills and experiences directly to the job requirements. Emphasise your problem-solving abilities and any leadership roles you've held, especially in managing projects or coaching others.
Proofread and Edit: Before submitting your application, carefully proofread your CV and cover letter. Check for any spelling or grammatical errors, and ensure that your documents are clear and professional.
How to prepare for a job interview at Envisage Recruitment Limited
✨Showcase Your Technical Expertise
As a Senior ADAS Engineer, it's crucial to demonstrate your deep understanding of autonomous vehicle technologies. Be prepared to discuss your experience with machine learning, perception algorithms, and control strategies in detail.
✨Prepare for Problem-Solving Questions
Expect to face complex problem-solving scenarios during the interview. Practice articulating your thought process and approach to tackling difficult engineering challenges, as this will showcase your analytical skills.
✨Highlight Project Management Experience
Since the role involves managing large projects, be ready to share examples of past projects you've led. Discuss how you delegated tasks, coached team members, and ensured project success under limited oversight.
✨Familiarise Yourself with Simulink
Given the emphasis on developing Simulink models, brush up on your skills with this tool. Be prepared to discuss how you've used it in previous roles and any specific projects where it played a key role in your work.
