About the Role

Job Title: Tech Lead Manager - Calibration
Location: London, England, United Kingdom
Employment Type: Full-time
Department: unspecified
Workplace Type: Hybrid

Key Responsibilities

• Manage delivery of the technical roadmap, forecasting dependencies and helping to unblock the team.
• Understand the long-term production strategy for calibration and build and align the calibration technical roadmap towards it.
• Help the team balance urgent operational day-to-day requirements with delivery of the long-term roadmap.
• Align with technical stakeholders to define SLAs for calibration.
• Assist the team in handling fleet scaling and create more time for roadmap delivery by increasing automation, monitoring, and observability of the pipeline.
• Set the team up for increasing the calibration pipeline scalability and modularity, decoupling core algorithmic elements from sensor standardization to make it platform-agnostic.

About You

Essential Skills and Experience

• Technical leadership in relevant domains (multi-modal calibration, SLAM, computer vision, estimation).
• Proven track record of building and maintaining scalable, automated pipelines.
• Ability to build technical roadmaps and manage high-quality execution while balancing foundational improvements and immediate operational needs.
• Proven ability to mentor and grow a high-performing engineering team, fostering a culture of engineering excellence, collaboration, and continuous improvement.
• Experience interfacing with product and program functions to plan and prioritize, handling changes in direction and priorities.
• Expertise in strategic prioritization and decision-making, navigating shifting priorities, and making data-driven trade-offs.

Desirable Skills and Experience

• Experience building calibration systems for sensor suites for autonomous driving or other robotics platforms.
• Experience creating calibration systems in the cloud and in real-time/on-robot.
• Proven experience taking proof-of-concept algorithmic systems through to production.
• Experience with SLAM/sensor fusion algorithms and nonlinear least squares optimization.

We understand that everyone has a unique set of skills and experiences, and 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 operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships, and learning, as well as time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.