14 hours ago
London, United KingdomStaff+
Responsibilities
- Set the technical strategy and roadmap for fault detection and fallback, including system scope, operating envelope, interfaces, and acceptance criteria.
- Design and train fault detection mechanisms for robust driverless operation.
- Lead integration into the shared driving stack and align technical decisions across teams.
- Lead architecture reviews, mentor engineers, and communicate risks, trade-offs, and evidence.
- Collaborate with machine learning, inference optimization, software engineering, research, simulation, evaluation, and applied engineering teams.
- Improve the overall robustness of the autonomous robot system beyond fault detection and fallback.
Requirements
- Practical, real-world experience developing, implementing, and troubleshooting robotics solutions.
- Staff-level technical leadership experience setting direction for ambiguous programs, aligning multiple teams, and carrying work from research through production deployment.
- Exceptional technical judgment and communication, including the ability to make safety-relevant trade-offs explicit and define evidence for decisions.
- Proficiency with Python and C++ for robotics.
- Experience deploying and maintaining fleets of robots or vehicles under real-world conditions is desirable.
- Experience building data collection, triage, and analysis tools for debugging robotic systems is desirable.
- Experience with cloud-based fleet monitoring, dashboards, logging, and real-time alerts is desirable.
- Knowledge of embedded or real-time systems and safety-critical hardware interactions is desirable.
- Experience with machine learning and inference optimization is desirable.
Benefits
- Inclusive interview accommodations and adjustments are available upon request.
- The role offers access to large-scale training and fleet data and collaboration with research, simulation, evaluation, and applied engineering teams.
About Wayve
Wayve builds end-to-end autonomous driving software—the vehicle-agnostic Wayve AI Driver—that runs on onboard compute and native sensors, licensed to automakers and fleet operators. Its platform spans ADAS and higher autonomy (L2+/L3 to robotaxi) and is designed to generalize across vehicle types and geographies. Founded in 2017 and headquartered in London, it tests its models across Europe, North America, and Japan, with a U.S. base in Sunnyvale, CA.