Wayve jobs

We are seeking a Machine Learning Engineer to join our Simulation Teams, focusing on advancing end-to-end autonomous driving research. This role is crucial for accelerating our AV2.0 development by incubating next-generation world model architectures and the synthetic data they produce. You will be responsible for building, scaling, and optimizing these models, integrating them into high-throughput generation and training infrastructure. Your work will directly impact the speed at which we can train, evaluate, and deploy driving models, bridging the gap between ML research and engineering by collaborating with scientists on architecture and platform engineers on infrastructure.

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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 sits at the center of our datasets team, which owns the driving data our AI Driver learns from, covering ingestion, annotation, retrieval, and data quality. As our data grows towards exabyte scale, deciding what data to keep and where is a major lever on both model quality and cost. You will shape the data that model engineers train on across the company, defining our dataset content strategy and steering data selection based on current model engineering needs.

$390k - $460k

Wayve is building the AI platform for autonomous driving, enabling vehicles to learn directly from real-world experience and adapt at scale. This role is on the Vehicle Generalization Team, focused on making Wayve's core autonomy generalize across a wide range of vehicle platforms. You will work on pre- and post-training methods to improve AI model generalization, specifically addressing how models perform with changes in perception and embodiment across different vehicles. Your work will directly impact production programs with major OEMs.

$370k - $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 ADAS engineering team, which focuses on the perception and intelligence powering driver assistance systems. The team works across the full ML lifecycle, from data creation to model development and evaluation, with a strong emphasis on measurable impact and shipping production-ready features. You will contribute to core ADAS perception capabilities and end-to-end approaches that allow models to act directly on the world, improving real-world driving performance.

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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 Driving Product team specifically focuses on developing the AI driver's core behaviors, taking models from data and training through evaluation and on-road validation, and shipping them into cars on aggressive timelines. This role involves owning key parts of the training model lifecycle, from data curation to iteration planning, and developing AI driver model architectures and training algorithms to enhance driving behaviors for various levels of autonomy.

$312k - $351k

Wayve is building the leading AI platform for autonomous driving, developing an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role is on the Driving team, which owns the core end-to-end driving model that directly shapes how Wayve's vehicles behave on the road. The team iterates quickly, identifying and resolving issues through data, model, and evaluation changes, and is central to Wayve's Robotaxi launches. This position offers a unique opportunity to lead a small team while remaining deeply technical, contributing to the development of embodied intelligence for real vehicles.

$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 Simulation team, focusing on Gaia, Wayve's world model. Gaia is trained on large-scale driving video to predict future frames, functioning as a simulator that generates synthetic scenarios and operates in closed loop with the driving model. The team collaborates closely with Research, Applications, Core Simulation Engineering, and Cloud/Infrastructure to translate model improvements into tangible impacts on the driving stack. You will own and lead parts of large-scale training for Gaia, contribute to model architecture decisions, and mentor others to raise the engineering and research quality bar.

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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. As a Senior Software Engineer, Data, you will join a high-autonomy team focused on building Wayve’s Data Transfer Hub. This mission-critical infrastructure is designed to transfer petabytes of sensor data daily from global partners, forming the data foundations essential for large-scale AI model training. You will work with partners such as Uber, Stellantis, and Nissan, contributing to the core systems that power autonomous vehicles.

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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 focuses on advancing reinforcement learning methods for end-to-end driving models, identifying opportunities where learning from reward or feedback can improve beyond behavior cloning. You will take promising ideas from design through large-scale experiments, rigorous evaluation, and integration into their best driving models, contributing to the development of embodied intelligence that moves real vehicles safely.

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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 Core Model Safety team, which builds foundational capabilities for assisted and automated driving, focusing on collision avoidance, model understanding, and robustness under failure. You will work in a focused, high-impact senior team with strong ownership, access to large-scale training and fleet data, and close partners in research, simulation, evaluation, and applied engineering. As a Senior/Staff Machine Learning Engineer, you will lead the technical direction and delivery of learned emergency manoeuvre prediction and collision detection models. These are rare, high-consequence events that place unusual demands on data, modelling, and validation. You will take the program from problem definition through modelling, evaluation, integration, and evidence for deployment, driving core model safety roadmap themes and owning the full lifecycle from research to offline/online experiments to technology transfer.

$312k - $389k

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 on the Model Foundations team, which builds the geometric vision and 3D foundation models that underpin Wayve's autonomous driving systems. You will work at the intersection of large-scale deep learning, geometric computer vision, and real-world robotics to develop models that learn 3D structure and dynamics from fleet-scale sensor data. As a Principal Engineer, you will be a hands-on technical leader, setting direction for geometric vision, prototyping and training new model architectures, building the data and supervision needed to scale them, and taking successful ideas through to deployment on real vehicles.

$370k - $420k

Wayve is seeking a Robotics Software Engineer to join our Online Calibration team and support scaling across our autonomous vehicle fleet. You will turn calibration and estimation methods into reliable, observable, and resource-efficient components of the on-vehicle runtime. Working across calibration, state estimation, robot software, hardware acceleration, and vehicle-platform teams, you will help shape the architecture and roadmap for a foundational capability that directly affects vehicle performance, resilience, and safety. Your day-to-day will involve developing robust production software for online calibration, operating continuously on constrained, hardware-accelerated platforms, and working with asynchronous sensor data, accelerator-produced features, and noisy, time-varying calibration parameters, balancing correctness, debuggability, and runtime efficiency.

$276k - $294k

Wayve is building the AI platform for autonomous driving, enabling vehicles to learn directly from real-world experience. This role is on the Enrichment and Curation team, which transforms fleet-scale driving data into high-quality training datasets, enrichments, and evaluation benchmarks for the company's end-to-end AI Driver and foundation models. You will be instrumental in developing the embodied intelligence that moves real vehicles safely and the ecosystem that future machines will run on.

$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 Search & Indexing team, part of the Compute and Data Platform (AI Platform), responsible for making Wayve's multimodal driving data discoverable. The team builds indexing infrastructure for vector and metadata-based retrieval, powering data curation, training set construction, and ML research. You will be the first hire in this team, based in our Sunnyvale office.

$312k - $351k

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 AI Platform team, specifically on the AI Libraries team, where you will create high-quality platforms, tools, and reusable abstractions to support thousands of GPUs and accelerate the development of autonomous driving technology. You will work closely with machine learning teams to understand their workflows and translate complex requirements into stable, scalable, and intuitive software, focusing on designing and writing Python, leading projects from discovery to delivery, and improving engineering standards.

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Wayve is building the AI platform for autonomous driving, enabling vehicles to learn directly from real-world experience. This role is on the Measurement team within AI Evaluation, focused on building and qualifying offline scene-understanding models that measure driving performance. These models leverage greater compute, larger models, and temporal context to create credible evidence at fleet scale, contributing to the development of a generalizable AI Driver for real vehicles.

$312k - $389k

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 focuses on advancing model-based autonomous driving, improving core driving performance, and developing intelligent features. You will lead critical initiatives to design and deliver ML-driven behaviors that scale from assisted to autonomous driving, working across model architecture, data pipelines, evaluation frameworks, and real-world deployment. You will collaborate closely with AI Platform, Simulation, Robot Software, and Model Release teams to build performant, adaptable systems ready for production, while helping shape the long-term technical direction across Autonomy.

$312k - $351k

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 on the AI Libraries team, which builds the foundations that enable Wayve's machine learning engineers and researchers to train, evaluate, and deploy models at scale. You will create high-quality platforms, tools, and reusable abstractions that support thousands of GPUs and accelerate the development of autonomous-driving technology. You will work closely with machine learning teams to understand their workflows and translate complex requirements into stable, scalable, and intuitive software. Your day-to-day will involve designing and writing Python, leading projects from discovery through delivery, improving engineering standards, and supporting users as they push the scale and performance of their models. You will build modular libraries for areas such as multimodal data loading, distributed training and inference, checkpointing, and observability, improving the reliability, performance, and developer experience of systems used across Wayve.

$276k - $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 within the AI Validation team, a fast-growing group responsible for proving the safety and effectiveness of the Wayve AI Driver. The team focuses on simulation-led validation across various driving competencies. You will own the validation process for specific driving behaviors, developing metrics, automated tests, and analyzing results to ensure the AI Driver meets product requirements and safety standards. This role offers the opportunity to influence release decisions and contribute to bringing advanced autonomous driving technology to a global market.

$210k - $311k

Wayve's AI Enablement team builds the shared platforms that enable employees across the company to use language models and AI agents safely, reliably, and cost-effectively. As an early member of this platform team, you will help shape both the technical foundations and the standards for how AI-powered tools are built and operated across Wayve. You will design, build, and operate infrastructure for model access, agent runtimes, and observability. You will take projects from initial problem definition through technical design, deployment, and ongoing operation, partnering closely with security, IT, and engineering teams. You will also support teams adopting the platform by troubleshooting issues, documenting reusable patterns, and helping people understand what's possible with the tools available.

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