Tech Lead, Remote Assist - Robotaxi

In this Tech Lead role at Wayve, you define the end-to-end architecture for Remote Assistance, linking vehicle telemetry and operator support to balance latency, reliability, and safety. You will set technical direction within the Robotaxi program and translate architecture decisions into product features. You will collaborate with autonomy, safety, platform, and product teams to drive delivery and safety-case alignment. This is a hands-on leadership path with a clear growth trajectory toward leading a small team as the program scales. You’ll work in a fast-paced, mission-driven environment shaping the future of autonomous driving.

• hybrid working policy
• office in London
• inclusive interview process
• opportunity to lead critical program
• career growth in leadership
• cross-functional collaboration

• Own the architecture and technical roadmap for Remote Assistance across onboard integration, offboard services, and operator tooling/HMI
• Define and drive the vehicle operator “contract” (data, authority bounds, fallback/MRM behaviour, and failure handling)
• Lead cross-team execution across autonomy, safety, platform/infra, and product partners, turning architecture into deliverable workstreams
• Establish system-level quality bars (latency budgets, reliability targets, monitoring, replay/evidence, incident learning loops) for safety-critical RA operation
• Act as the technical interface to engineering leadership and safety stakeholders, shaping how RA feeds into the evolving L4 safety case

• Staff-level experience building and owning real-time, safety-critical systems (e.g., AV/robotics, teleoperation, aerospace/avionics, industrial control, medical devices)
• Strong product and customer orientation; able to connect technical performance metrics to rider experience, operational outcomes, and launch readiness
• Proven ability to lead cross-org technical roadmaps and land work across multiple teams you don’t directly manage (architecture, alignment, execution)
• Deep hands-on expertise in at least one of: low-latency video/telemetry streaming, robotics/AV system integration, control systems, or human-in-the-loop system design
• Strong safety-first engineering instincts: failure-mode thinking, fallback/MRM design, operational constraints/ODD enforcement, and evidence-driven decision making

• Cross-team collaboration
• Strong communication and stakeholder management
• Product-minded thinking
• Low-latency video/telemetry streaming
• Robotics/AV system integration
• Control systems