At a Glance
- Tasks: Lead a team to develop AI for self-driving cars and enhance driving safety.
- Company: Wayve, a pioneering company in Embodied AI technology.
- Benefits: Hybrid working policy, flexible hours, and a culture of innovation.
- Other info: Join a diverse team committed to excellence and continuous learning.
- Why this job: Make a real impact on the future of autonomous driving technology.
- Qualifications: Experience managing engineering teams and understanding machine learning fundamentals.
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 involves leading 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 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 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.
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.
Remote Engineering Manager, Semantic Understanding in Norfolk employer: Wayve
Wayve is an exceptional employer that champions a diverse and inclusive culture, fostering an environment where every employee's unique skills and perspectives are valued. With a commitment to innovation in the field of Embodied AI technology, employees benefit from a hybrid working policy that promotes collaboration and flexibility, alongside ample opportunities for professional growth and development. Join us in London, where your contributions will directly impact the future of automated driving in a supportive and dynamic team atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Engineering Manager, Semantic Understanding in Norfolk
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews! Research Wayve’s projects and values, and think about how your experience aligns with their mission. Practise common interview questions and be ready to showcase your problem-solving skills.
✨Tip Number 3
Show off your passion! When you’re chatting with potential employers, let your enthusiasm for AI and self-driving tech shine through. Share your ideas and insights on how you can contribute to their goals.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Wayve team.
We think you need these skills to ace Remote Engineering Manager, Semantic Understanding in Norfolk
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for self-driving cars and AI shine through. We want to see how your unique skills and experiences align with our mission at Wayve.
Tailor Your CV:Make sure to customise your CV to highlight relevant experience in managing engineering teams and working with machine learning. We love seeing how your background fits into the role of Engineering Manager.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and skills are easy to spot. This helps us understand your fit for the role quickly!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Wayve
✨Know Your Stuff
Make sure you brush up on your machine learning fundamentals and any relevant coding knowledge, especially in Python. Familiarise yourself with Wayve's approach to ADAS and how it differs from traditional systems. This will show that you're not just interested in the role but also understand the company's vision.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully managed engineering teams in the past. Highlight your experience in roadmap planning and stakeholder management. Be ready to discuss how you promote software engineering best practices and help your team grow their careers.
✨Embrace the Challenge
Wayve thrives on tackling complex problems, so be prepared to discuss how you've approached challenges in your previous roles. Share specific instances where you leaned into uncertainty and found innovative solutions, as this aligns with their culture of embracing big problems.
✨Communicate Effectively
Since the role involves driving cross-functional initiatives, practice articulating your thoughts clearly and concisely. Think about how you can bridge gaps between different teams and ensure everyone is aligned towards common goals. Good communication can set you apart from other candidates.
