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- Tasks: Lead a team to solve complex issues in autonomous vehicle performance using robotics and AI.
- Company: Wayve is at the forefront of autonomous driving technology, innovating for a smarter future.
- Benefits: Enjoy a hybrid work policy, flexible hours, and a collaborative office environment.
- Why this job: Join a dynamic team making real-world impacts in AV technology and drive innovation.
- Qualifications: 5+ years in robotics/AI, strong problem-solving skills, and experience with data analysis tools required.
- Other info: This role is based in Sunnyvale or London, offering a blend of office and remote work.
The predicted salary is between 48000 - 72000 £ per year.
The Role As the Engineering Manager – Autonomous Driving Forensics Engineer , you will lead a cross-functional team focused on identifying and resolving systemic issues in autonomous vehicle (AV) performance. Leveraging your expertise in robotics and AI, you will provide actionable insights that drive improvements in our end-to-end AV stack, empowering development teams to deliver world-class performance.
You will work closely with software engineers, roboticists, platform developers, and operational teams to investigate AV behaviour in real-world and simulated environments. Your leadership will guide the development of innovative solutions, ensuring issues are resolved efficiently and effectively.
Key responsibilities:
- Lead cross-functional teams to identify, analyse, and resolve complex performance issues in AV systems.
- Apply your robotics and AI expertise to investigate systemic issues across the AV stack.
- Design and oversee experiments to test hypotheses and improve system performance.
- Leverage video, simulation, and telemetry data to identify trends and root causes.
- Communicate findings and strategies to technical and non-technical stakeholders.
- Drive statistical rigour and best practices in performance analysis and experimentation.
- Collaborate with developers to implement solutions and track performance improvements.
About You
Essential:
- 5+ years of experience working with complex robotics or AI systems, including leadership roles.
- Proven ability to design experiments for real-world robotic systems and analyse their results.
- Exceptional problem-solving and critical thinking skills to address complex technical challenges.
- Strong communication skills for engaging with both technical and non-technical audiences.
- Experience with statistical scripting and data analysis tools (e.g., Python with pandas, sklearn, scipy).
- Proficiency in remote Linux environments and hands-on debugging.
- Demonstrated ability to influence organisational direction through actionable insights.
Desirable:
- Hands-on experience with machine learning frameworks (e.g., PyTorch).
- Passion for transitioning research ideas into production-grade solutions.
- Strong advocate for statistical rigour and experimental best practices.
- Experience in fast-paced tech environments or startups.
- Expertise in Python and data science workflows.
This is a full-time role based in our office in Sunnyvale or London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
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Engineering Manager - Autonomous Driving Forensics employer: Wayve
Contact Detail:
Wayve Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager - Autonomous Driving Forensics
✨Tip Number 1
Familiarize yourself with the latest advancements in autonomous driving technology and robotics. This will not only help you understand the challenges faced in the field but also allow you to speak knowledgeably about potential solutions during interviews.
✨Tip Number 2
Network with professionals in the autonomous vehicle industry, especially those who have experience in leadership roles. Attend relevant conferences or webinars to connect with others and gain insights into the current trends and challenges in AV performance.
✨Tip Number 3
Prepare to discuss specific examples of how you've led cross-functional teams in the past. Highlight your problem-solving skills and any successful projects where you applied your expertise in robotics and AI to resolve complex issues.
✨Tip Number 4
Showcase your proficiency in statistical analysis and data tools by discussing relevant projects or experiments you've conducted. Be ready to explain how you used data to drive improvements in system performance, as this aligns closely with the role's responsibilities.
We think you need these skills to ace Engineering Manager - Autonomous Driving Forensics
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Engineering Manager - Autonomous Driving Forensics position. Understand the key responsibilities and required skills, especially in robotics and AI, as this will help you tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasize your 5+ years of experience with complex robotics or AI systems. Provide specific examples of leadership roles and how you've successfully resolved performance issues in similar environments.
Showcase Problem-Solving Skills: Demonstrate your exceptional problem-solving and critical thinking abilities in your application. Use concrete examples where you designed experiments or analyzed data to address complex technical challenges.
Communicate Effectively: Since strong communication skills are essential for this role, ensure that your application clearly conveys your ability to engage with both technical and non-technical audiences. Tailor your language to reflect this capability throughout your documents.
How to prepare for a job interview at Wayve
✨Showcase Your Leadership Experience
Be prepared to discuss your previous leadership roles in robotics or AI systems. Highlight specific examples where you successfully led cross-functional teams to resolve complex performance issues.
✨Demonstrate Problem-Solving Skills
Prepare to tackle hypothetical scenarios related to AV performance issues. Use the STAR method (Situation, Task, Action, Result) to structure your responses and showcase your critical thinking abilities.
✨Communicate Effectively with Diverse Audiences
Practice explaining technical concepts in simple terms. You’ll need to communicate findings to both technical and non-technical stakeholders, so being clear and concise is key.
✨Familiarize Yourself with Data Analysis Tools
Brush up on your skills with statistical scripting and data analysis tools like Python, pandas, and sklearn. Be ready to discuss how you've used these tools to analyze data and drive insights in past projects.
