Drive the roadmap for development and experimentation vehicle platforms, ensuring rapid iteration and scalable capabilities to enhance automated driving systems.
As an Autonomous Driving Forensics Engineer, you will investigate issues across the Wayve AV stack, identifying root causes and providing actionable insights to enhance performance.
As an Automotive System Engineer, you will design L2/L3 automotive systems, define requirements, and collaborate with teams to ensure seamless integration of advanced autonomy solutions.
Lead the applied methods Data Science team, driving experimental analysis and insights to enhance engineering efforts in autonomous mobility.
As a Data Scientist, you will collaborate with engineering teams to develop insights that enhance the functionality and safety of the Wayve AI Driver through experimental and observational analyses.
As a Senior Software Engineer on the Fleet Management team, you'll develop platforms for deploying software and monitoring vehicle health, directly impacting autonomous ride operations.
As a Full Stack Software Engineer, you'll develop internal tools that enhance AI Driver performance evaluation, enabling efficient testing and debugging across various scenarios.
As a Senior Machine Learning Engineer, you will develop and optimize computer vision models for offline performance measurement, ensuring accuracy and generalization across various conditions.
Lead a team of Senior Machine Learning Engineers to develop and productionize offline scene understanding models, driving technical direction and ensuring high-quality ML systems.
As a Principal Engineer on the Model Foundations team, you will lead the development of geometric vision and 3D foundation models for autonomous driving systems, leveraging large-scale deep learning and robotics.
The Head of Marketing will define and lead the global marketing strategy for Wayve's AI Driver technology, transforming commercial objectives into compelling narratives and integrated programs.
As Engineering Manager for the Runtime Platform, you'll lead a team focused on delivering high-performance, low-latency embedded software for autonomous vehicles, prioritizing people leadership and technical direction.
As a Security Analyst, you'll build data and automation capabilities to enhance security governance, enabling better decision-making and continuous visibility into security posture.
As Product Manager, AI Driver, you will independently own a critical work package and lead a cross-functional team to drive the AI Driver product forward.
The Supply Chain Programme Manager leads end-to-end supply chain execution for programmes and product builds, ensuring timely delivery and compliance across cross-functional teams.
As a Product Feature Owner, you will oversee the development and delivery of critical ADAS functionalities, ensuring they meet OEM requirements and align with internal capabilities.
Support customers throughout the development lifecycle by providing technical assistance, troubleshooting issues, and ensuring seamless integration of AI technology into vehicles.
As a Roboticist on the MEGA team, you will build and maintain robot hardware, develop software for deployment, and collaborate on innovative research in robotics.
The Sensing Systems Engineer will own the performance of the sensing subsystem, ensuring its integration into vehicle platforms meets high standards for model development and deployment.
Join the MEGA team as a Research Scientist to develop foundation models for general-purpose robots, focusing on intelligent agents that can perceive and manipulate the physical world.
As a Principal Research Scientist, you will lead the development of foundation models for general-purpose robots, defining research agendas and technical strategies while collaborating with top researchers.
As a Product Feature Owner, you will oversee the development and delivery of ADAS functionalities, ensuring they meet OEM requirements and align with internal capabilities.
As a Product Feature Owner, you will oversee the development and delivery of ADAS functionalities, ensuring they meet OEM requirements and align with internal capabilities.
As a Data Engineer, you'll design and implement scalable data pipelines to support model-based autonomous driving, ensuring high-quality, model-ready datasets.
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