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- Tasks: Lead a team to solve complex issues in autonomous vehicle performance.
- Company: Wayve is a pioneering developer of AI technology for automated driving.
- Benefits: Enjoy hybrid working options and a culture that values diversity and inclusion.
- Why this job: Join us to tackle exciting challenges and contribute to the future of autonomous driving.
- Qualifications: 5+ years in robotics or AI, strong problem-solving skills, and experience with data analysis tools.
- Other info: Passionate about self-driving cars? We want you on our team!
The predicted salary is between 43200 - 72000 £ per year.
Engineering Manager – Autonomous Driving Forensics Join to apply for the Engineering Manager – Autonomous Driving Forensics role at Wayve . At Wayve, we\’re committed to creating a diverse, fair, and inclusive culture that values everyone\’s unique skills and perspectives, regardless of sex, race, religion, or other protected characteristics. About Us Founded in 2017, Wayve is a leading developer of Embodied AI technology. Our AI software enables vehicles to perceive, understand, and navigate complex environments, improving automated driving safety and usability. Our vision is to create autonomous systems that propel the world forward. We develop mapless, hardware-agnostic AI products for automakers, accelerating the transition to automated driving. We embrace complex challenges, aiming high with humility, and continuously learning to build a smarter, safer future. We value diversity, new perspectives, and an inclusive environment where everyone can contribute meaningfully. The Role As the Engineering Manager – Autonomous Driving Forensics Engineer , you will lead a cross-functional team focused on diagnosing and resolving systemic issues in autonomous vehicle (AV) performance. Your expertise in robotics and AI will guide improvements in our AV stack, enabling development teams to achieve top performance. You will collaborate with software engineers, roboticists, platform developers, and operational teams to investigate AV behavior in real-world and simulated settings. Your leadership will foster innovative solutions and ensure efficient issue resolution. Key Responsibilities Lead teams to identify, analyze, and resolve complex AV system performance issues. Apply robotics and AI expertise to investigate systemic problems across the AV stack. Design and oversee experiments to test hypotheses and enhance system performance. Use video, simulation, and telemetry data to identify trends and root causes. Communicate findings and strategies to both technical and non-technical stakeholders. Promote statistical rigor and best practices in performance analysis and experimentation. Collaborate with developers to implement solutions and monitor improvements. About You 5+ years experience with complex robotics or AI systems, including leadership roles. Proven ability to design experiments and analyze results in robotic systems. Strong problem-solving and critical thinking skills. Excellent communication skills for diverse audiences. Experience with data analysis tools like Python (pandas, sklearn, scipy). Proficiency in remote Linux environments and debugging. Ability to influence organizational direction through insights. Desirable Skills Hands-on experience with machine learning frameworks (e.g., PyTorch). Passion for translating research into production solutions. Advocate for statistical rigor and best practices. Experience in fast-paced tech or startup environments. Expertise in Python and data workflows. This is a full-time role based in Sunnyvale or London with a hybrid working policy. We value diverse skills and experiences; if you\’re passionate about self-driving cars, we encourage you to apply. For more information, visit Careers at Wayve and Values at Wayve. #J-18808-Ljbffr
Contact Detail:
Wayve Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager - Autonomous Driving Forensics
✨Tip Number 1
Familiarise yourself with the latest advancements in autonomous driving technology and AI. Understanding the current trends and challenges in the industry will help you engage in meaningful conversations during interviews and demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the autonomous driving and robotics sectors. Attend industry conferences, webinars, or local meetups to connect with like-minded individuals and potentially gain insights into job openings or company culture at Wayve.
✨Tip Number 3
Prepare to discuss your leadership experiences in detail. Be ready to share specific examples of how you've led teams to solve complex problems, particularly in robotics or AI, as this will be crucial for the Engineering Manager role.
✨Tip Number 4
Showcase your problem-solving skills by discussing past projects where you applied data analysis tools like Python. Highlight any experience you have with machine learning frameworks, as this aligns well with the desirable skills for the position.
We think you need these skills to ace Engineering Manager - Autonomous Driving Forensics
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Engineering Manager - Autonomous Driving Forensics position. Understand the key responsibilities and required skills, so you can tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with complex robotics or AI systems, particularly in leadership roles. Provide specific examples of how you've designed experiments and resolved performance issues in similar environments.
Showcase Communication Skills: Since the role requires communicating findings to both technical and non-technical stakeholders, include examples in your application that demonstrate your ability to convey complex information clearly and effectively.
Tailor Your Application: Customise your CV and cover letter to reflect the values and culture of Wayve. Mention your passion for self-driving cars and how your unique skills align with their mission to create a diverse and inclusive environment.
How to prepare for a job interview at Wayve
✨Showcase Your Technical Expertise
Make sure to highlight your experience with robotics and AI systems during the interview. Be prepared to discuss specific projects you've worked on, particularly those that involved diagnosing complex performance issues or designing experiments.
✨Demonstrate Leadership Skills
As an Engineering Manager, your leadership abilities are crucial. Share examples of how you've successfully led cross-functional teams in the past, focusing on how you foster collaboration and drive innovative solutions.
✨Communicate Clearly
You'll need to convey technical findings to both technical and non-technical stakeholders. Practice explaining complex concepts in simple terms, and be ready to discuss how you ensure everyone is on the same page.
✨Prepare for Problem-Solving Scenarios
Expect to face hypothetical scenarios related to AV system performance issues. Think through your problem-solving process and be ready to articulate how you would approach diagnosing and resolving these challenges.
