At a Glance
- Tasks: Lead a team to develop cutting-edge AI for automated driving systems.
- Company: Wayve, a pioneer in Embodied AI technology with a diverse and inclusive culture.
- Benefits: Hybrid working policy, flexible hours, and opportunities for professional growth.
- Other info: Join a dynamic environment that values diversity and innovation.
- Why this job: Make a real impact in the future of autonomous driving while growing your career.
- Qualifications: Experience managing engineering teams and understanding machine learning fundamentals.
The predicted salary is between 60000 - 80000 £ per year.
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. 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.
The role As the Engineering Manager of Semantic Understanding, you will lead a development team focused on extracting rules from the environment that influence driving behaviour. Initially, these will feed into ADAS functions such as lane assist, traffic sign detection, and ODD classification, as part of our ADAS One-Stop Shop product. We are looking for a system-oriented leader with cross-functional experience to bridge this world of conventionally perception-based features to end-to-end learning.
Key responsibilities:- Help define and drive the Semantic Understanding roadmap, lead technical discussions and guide direction where needed.
- Build a resilient team which prioritises effectively, anticipates the needs of the business, and maintains a culture of impact.
- Understand Wayve’s end-to-end approach and how it maps to AV 1.0, drawing parallels in our development story and highlighting key advantages.
- Dive into data analytics, constructing evaluation suites, and get in-vehicle experiences from time to time to ground your understanding of the system.
- Drive cross-functional initiatives through effective communication, working through organisational boundaries when necessary to deliver on company goals and priorities.
In order to set you up for success as an Engineering Manager at Wayve, we’re looking for the following skills and experience.
Essential- Proven track record of managing engineering teams.
- Solid understanding of machine learning fundamentals.
- Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables.
- Track record of promoting software engineering best practices and excellence within the team.
- Demonstrated ability to manage software engineers and grow their careers.
- Good foundational coding knowledge and experience.
- Experience developing ML systems.
- Experience with perception systems, trained and deployed at scale.
- Experience with offline autolabelling.
- Experience with performance evaluation of embodied AI systems.
- Development experience in Python.
- Experience developing ADAS functions.
This is a full-time role based in our office in 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.
