Tech Lead Manager

The role 

Key responsibilities:

• Managing delivery of the technical roadmap – forecasting dependencies and helping to unblock the team. 
• Understanding the long-term production strategy for calibration, and building and aligning the calibration technical roadmap towards it 
• Helping the team to balance urgent operational day-to-day requirements with delivery of the long-term roadmap
• Aligning with technical stakeholders to define SLAs for calibration 
• Help the team handle fleet scaling and create more time for roadmap delivery by increasing automation, monitoring and observability of the pipeline
• Set the team up well for increasing the calibration pipeline scalability and modularity, and decoupling core algorithmic elements from sensor standardisation to make it platform-agnostic

About you  

In order to set you up for success as a TLM at Wayve, we’re looking for the following skills and experience.  

Essential 

• Technical leadership in relevant domain (multi-modal calibration, SLAM, computer vision, estimation). Track record of building and maintaining scalable, automated pipelines by drawing on expertise from technical leads. Ability to build technical roadmaps, and manage high-quality execution while managing trade-offs between foundational improvements and immediate operational needs.
• Team growth and leadership. Proven ability to mentor and grow a high-performing engineering team, fostering a culture of engineering excellence, collaboration, and continuous improvement.
• Interface with product & programmes. Track record of working with product and programme functions to plan and prioritise, and handle change of direction and priorities.
• Strategic prioritisation and decision making. Expertise in navigating shifting priorities, balancing long-term architecture with urgent support requests, and making data-driven trade-offs between impact, feasibility, and resources.

Desirable 

• Building calibration systems for sensor suites for autonomous driving or other robotics platforms from the ground up.
• Creating calibration systems both in the cloud and in real-time / on-robot.
• Proven experience of taking proof-of-concept algorithmic systems through to production.
• Experience of SLAM / sensor fusion algorithms and nonlinear least squares optimisation.

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.

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.  

#LI-AF1