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This role involves conducting research in AI applied to autonomous driving, focusing on reinforcement learning and model-based algorithms. Responsibilities include developing advanced models and learning algorithms, leveraging real-world driving data, and contributing to academic publications. You'll be part of a team that works on complex challenges in perception, prediction, planning, and control for vehicle navigation.

Lead the development and engagement with technical partners, ensure partnership support for Embodied AI development, track technical trends, educate internal teams on tech partners, maintain seamless partner communications, evolve partnership learnings to match strategic needs.

As a Tech Lead, you will develop and maintain the testing infrastructure for embedded applications in autonomous vehicles, lead automation efforts for hardware-in-the-loop testing, create sensor emulation frameworks, advocate for testing best practices, and mentor a team of engineers.

The Lead Solution Architect will shape the integration of autonomous driving technology with automotive OEMs by defining technical architecture, collaborating with product management, negotiating integration boundaries, leading a new department, and staying updated with industry trends.

As a Principal Engineer at Wayve, you will oversee software performance, mentor teams, manage technical roadblocks, and contribute to engineering roadmaps for autonomous vehicle technology. Your role involves ensuring the integration of machine learning and robotics while maintaining high software engineering standards.

The Inference Optimization Manager at Wayve will lead the Inference Optimization team to optimize AI models for autonomous driving in consumer vehicles. Responsibilities include team leadership, developing optimization frameworks, performance benchmarking, and promoting innovation in model optimization techniques.

As a Software Engineer Tech Lead at Wayve, you will lead the technical direction for the simulation platform, ensuring high-fidelity and scalable simulations. You’ll collaborate with various teams to integrate subsystems and own key performance metrics related to simulator realism and reproducibility, leveraging your expertise in simulation and machine learning.