Search the 12 jobs at Wayve

As a System Test Engineer at Wayve, you will design, execute, and lead verification tests for AI systems at various levels. Responsibilities include uncovering software and hardware bugs, defining Hardware in the Loop (HiL) test stations, and conducting root cause analysis of issues found during tests.

The Global Supply Chain Manager will work with engineers to scale early-stage product development and build supplier relationships across various industries. Key responsibilities include managing costs of products, establishing agile supply chains, and driving decision-making to improve manufacturing processes.

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 Staff Applied Scientist, you will lead AI-driven projects in autonomous driving, focusing on areas like reinforcement learning, large language models, and model-based planning. You will tackle complex problems in perception, prediction, and control while collaborating with global teams and contributing to research publications.

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.

The Solution Architect at Wayve will define and manage the technical architecture of autonomous driving products, ensuring integration with vehicle systems. Responsibilities include collaborating on product specifications, negotiating with automotive OEMs, working with software architects and validation engineers, maintaining documentation, and keeping abreast of industry trends.

As the Software Tech Lead in the Scenario Technology team, you will build scalable infrastructure, develop backend tools, and optimize data pipelines for validating self-driving models. You will design cloud-based solutions, implement CI/CD pipelines, and collaborate with cross-functional teams to enhance scenario coverage operations while managing databases and streamlining workflows.