Engineering Manager

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.

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