Engineering Manager - Autonomous Driving Forensics

Wayve; London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Join a forward-thinking company as an Engineering Manager for Autonomous Driving Forensics. In this pivotal role, you will lead a talented team dedicated to diagnosing and resolving complex performance issues in autonomous vehicles. Your expertise in robotics and AI will drive improvements across the AV stack, fostering innovative solutions that enhance safety and usability. Collaborate with diverse teams, communicate findings effectively, and contribute to the evolution of autonomous systems. This is a unique opportunity to make a significant impact in the rapidly advancing field of automated driving while working in a hybrid environment.

Qualifications

• 5+ years experience in robotics or AI systems with leadership roles.
• Proven ability to design experiments and analyze results.

Responsibilities

• Lead teams to resolve complex AV system performance issues.
• Design experiments to enhance system performance.

Skills

Robotics

AI Systems

Problem-Solving

Data Analysis (Python)

Communication Skills

Tools

Python (pandas, sklearn, scipy)

Machine Learning Frameworks (PyTorch)

Linux

Job description

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

1. Lead teams to identify, analyze, and resolve complex AV system performance issues.
2. Apply robotics and AI expertise to investigate systemic problems across the AV stack.
3. Design and oversee experiments to test hypotheses and enhance system performance.
4. Use video, simulation, and telemetry data to identify trends and root causes.
5. Communicate findings and strategies to both technical and non-technical stakeholders.
6. Promote statistical rigor and best practices in performance analysis and experimentation.
7. 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.