Wayve jobs

Wayve is seeking a System Test Automation Engineer to join their Verification and Release Test Team. This role is crucial in ensuring the safety and reliability of embodied intelligence for autonomous vehicles. You will be responsible for developing robust, reusable automation for system functionality tests across hardware and software boundaries, and leading root-cause investigations for failures. The position involves optimizing CI/CD test workflows, analyzing test results to uncover bugs, and reporting findings. You will independently own the design and delivery of automated verification for specific areas of the embedded software stack, and build various types of hardware-in-the-loop (HIL) tests. This is a hands-on role with opportunities to grow into broader system areas, contributing to the company's mission of making autonomy universal.

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Wayve is seeking a founding Machine Learning Software Engineer for its Multi-Embodiment Generalist Agent (MEGA) team. This role focuses on building foundation models for general-purpose robots, enabling them to learn from diverse data and generalize across tasks and embodiments. You will be instrumental in designing and constructing the software systems that support MEGA's machine learning research, including scalable ML pipelines, data and training infrastructure, and shared tools for rapid experimentation. This position offers a unique opportunity to work closely with large-scale video and robotics datasets, modern ML frameworks, and advanced models, ensuring the reliability and maintainability of research systems as the program expands. You will own critical components of the software and ML infrastructure, influencing the team's ML stack development and operations.

$312k - $420k

Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role is within the Generative Simulation team, which advances autonomous driving research by incubating new ideas. As a Machine Learning Engineer, you will develop next-generation world models and planners, such as GAIA, to simulate complex driving environments for faster training, broader testing, and scalable deployment. A major focus is on efficiency and interactivity, requiring models to run thousands of roll-outs per second, support closed-loop agent interaction, and fit within practical compute budgets. You will work at the intersection of machine learning research, multi-modal modeling, and real-world deployment, tackling challenges like deploying autonomous vehicles without real-world data and assessing if synthetic environments can replace physical testing.

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We are seeking a Technical Lead Manager to lead our Synthetic Data team, a critical component of our autonomous driving research. This role will focus on leveraging generative world models, like GAIA-3, to create a production engine for training-grade synthetic data. The goal is to significantly reduce our reliance on expensive on-road data collection by enabling the generation of diverse driving scenarios, even for future vehicle platforms or geographies where data collection is limited. You will lead a team of machine learning engineers, guiding technical strategy, system design, and the development of capabilities that accelerate our journey to AV2.0.

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Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. The Model Integration and Release team owns the engineering release process for Wayve’s driving models, validating that new architectures, features, or data changes meet quality, safety, and performance standards before they reach customers. This role involves working across ML engineering, AI Platform, evaluation, and CI/CD to protect the model baseline while continually improving how reliably and efficiently models are delivered.

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Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role is within the AV Core Engineering Team, specifically the Core Model Safety team, which focuses on collision avoidance, model understanding, and robustness under failure. You will join a senior team working with large-scale training and fleet data, collaborating with research, simulation, evaluation, and applied engineering teams. The core of the work involves leading large-scale data enrichment and curation initiatives, developing workflows for mining hard and rare events, investigating model performance in real-world scenarios, and improving the efficiency and reliability of the machine learning operations stack.

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Wayve is building the AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role is within the Performance Architecture team, which focuses on making Wayve's AI workloads faster and more efficient across training and cloud inference. The goal is to unlock new product capabilities by enabling the training of larger models faster and running inference more efficiently at scale. The team plays a crucial role in the company's mission to make autonomy universal and accelerate the transition to a safer, more intelligent future of mobility.

$370k - $395k

Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role is within the ML performance team, which optimizes inference for edge accelerators and GPUs, ensuring large transformer-based models run efficiently on low-cost, low-power in-vehicle compute. You will work closely with model, platform, and deployment teams to transform research models into reliable production systems for Wayve's driving product. This is a hands-on position involving ML systems, compilers, runtimes, kernels, and embedded deployment, focusing on identifying bottlenecks, implementing performance improvements, and collaborating with model developers on performance trade-offs.

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We are seeking a Model Release Engineer to join our Model Integration and Release Team. This team is responsible for building the platform that moves Wayve’s AI Driver models from development through to release. You will work across the full model lifecycle, connecting systems and teams to create a scalable, reliable, and transparent path to production, enabling faster and more confident model deployment. This role involves designing and building Python services, integrating feature candidates, coordinating training and testing, and productionizing services on Azure and Kubernetes.

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The Evaluation Tools group builds internal products that accelerate the AI Driver development loop, from defining tests to debugging model behavior. Model developers, researchers, and QA engineers rely on these tools to understand driving performance and scale evaluations across millions of scenarios. You will join the Search & Agents squad, developing search, scenario mining, and agentic tooling that allows users to find driving scenarios and create tests without writing SQL. This role involves working across the full stack, owning features end-to-end, from user interaction and idea shaping to building robust software and validating impact. You will have opportunities to define new projects as user needs evolve.

$210k - $311k

Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role is for a founding member of the Multi-Embodiment Generalist Agent (MEGA) team, focused on building foundation models for general-purpose robots. These models will learn from large-scale video, language, and robot-interaction data to generalize across tasks and embodiments, enabling agents to perceive, reason about, and act reliably in the physical world. The work combines frontier ML research with direct real-world evaluation on a growing fleet of robots.

$311k - $420k

Wayve is seeking a founding Research Scientist to join the Multi-Embodiment Generalist Agent (MEGA) team. This role focuses on building foundation models for general-purpose robots beyond self-driving vehicles, creating intelligent agents capable of perceiving, reasoning, moving, and manipulating the physical world across diverse embodiments. You will play a senior, high-impact role in defining the research agenda, technical strategy, and foundations of a new robotics program. The work involves the entire robot-learning stack, from scalable data flywheels and new model architectures to training large models, designing evaluations, and deploying policies on real robots. You will collaborate with researchers, ML engineers, and roboticists to advance ambitious ideas from research hypotheses to large-scale experiments and real-world capabilities.

$370k - $513k