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 an Engineering Manager in Driving Intelligence, your role is on the critical path to the success of the company. You are responsible for guiding the development of our autonomous vehicle capabilities with production-level quality. This includes training, tuning and debugging production models, informing decisions on how to collect and synthesise training data. We're looking for leaders who can foster innovation, drive strategic initiatives, and steer teams towards achieving breakthroughs in driving intelligence. Join us to shape the future of mobility and AI.

Key responsibilities:

  • Grow an already strong team of engineers and model developers.
  • Ensure team members are having a strong impact and are set up for success.
  • Ensure projects are resourced in a way that balances the needs of the business with the needs of the individuals.
  • Bring technical expertise and experience to help accelerate our progress and decision making.
  • Establish solid engineering practices in developing ML models to production-level quality
  • Challenge the status quo (both technical and organisational/process).
  • Prioritise effectively and keep processes lean and effective.
  • Partner with leadership to maintain a culture of collaboration, impact, innovation, and health.
  • Grow the team as a hiring manager, to bring in complementary, diverse skill sets and backgrounds. Anticipate the needs of the business 6-24 months out, identify areas where additional resources are needed or we need to grow new domain expertise, and pitch this to leadership for investment.
  • Contribute to day-to-day running of the Software team’s operations and larger collaborative efforts.

 Day-to-Day

  • 1:1s across the team reporting updates or coaching through career hurdles
  • Attend stand-ups of the projects your team is contributing to and see where you can unblock or help prioritise
  • Ensure project leads within your team are aligning projects with company goals and priorities
  • Encourage bold ambition and risk taking in projects
  • Work cross-functionally to set the broader strategy and roadmap 
  • Review upcoming decisions and assess any dependencies or risks 
  • Debug teams and projects - ask the right questions, challenge assumptions, think creatively, eliminate possible factors that could be contributing to a bug, add feedback loops, and then assess feedback
  • Work with leadership to communicate progress, blockers, and potential accelerants
  • Assess general team health and look for opportunities to improve processes and best practices 

About you  

In order to set you up for success as an Engineering Manager in Driving Intelligence at Wayve, we’re looking for the following skills and experience.  

Essential 

  • Prior experience as a manager of ML development teams.
  • Passionate about fostering personal and professional growth in individual team members 
  • Industry experience with embodied AI development with real-world product impact.
  • Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables.
  • Prior hands-on ML development experience in an embodied area (e.g., robotics).
  • MS or PhD in Computer Science, Engineering, or similar experience.

Desirable 

  • Experience working in a project-based (“matrix”) operating environment
  • Strong knowledge of Machine Learning and related areas, such as Deep Learning, Natural Language Processing, Computer Vision, etc.
  • Experience developing machine learning solutions for Autonomous Vehicles.

#LI-AF1

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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Wayve is committed to creating a diverse and inclusive culture for our employees. It is crucial for us to understand the demographics of our candidate pool to measure our recruitment practices.

There is no requirement for any candidate to answer our demographic questions.

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