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Engineering Manager - Autonomous Driving Forensics

Wayve

London

Hybrid

GBP 60,000 - 100,000

Full time

3 days ago
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Job summary

An established industry player is seeking an Engineering Manager to lead a cross-functional team in enhancing autonomous vehicle performance. This role involves leveraging your expertise in robotics and AI to identify and resolve systemic issues, driving improvements in the end-to-end AV stack. You'll collaborate with software engineers and roboticists, utilizing data analysis and experimentation to deliver actionable insights. Join a dynamic environment that values innovation and teamwork, where your contributions will significantly impact the future of automated driving technology.

Qualifications

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

Responsibilities

  • Lead teams to resolve performance issues in AV systems.
  • Design experiments to test hypotheses and improve performance.

Skills

Robotics
AI Systems
Problem-Solving
Statistical Analysis
Communication Skills

Education

Bachelor's Degree in Engineering or related field

Tools

Python with pandas
Machine Learning Frameworks (e.g., PyTorch)
Linux

Job description

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.
About us

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

At Wayve, big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

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, analyze, 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 rigor 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 analyze 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 organizational 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 rigor 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.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve.

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

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