Build and scale generative world models and synthetic-data pipelines for autonomous driving, connecting model research to training-ready data and measuring its impact on driving models.
Wayve jobs
Wayve is a leader in automated driving, utilizing advanced Embodied AI technology.
171 open roles at Wayve
Own full-cycle technical and product recruitment across a portfolio of 10–15 roles, using proactive sourcing, pipeline data and hiring-manager partnership to build high-performing teams.
Staff Software Engineer Engineer, Model Development Platform
Own the architecture and operation of cloud services powering the AI model lifecycle, while setting technical direction and building secure, reliable platform foundations for research and engineering teams.
Own indirect procurement across corporate categories, developing sourcing strategies, negotiating supplier agreements, managing contracts and performance, and using spend data to improve value, governance, and efficiency.
Machine Learning Engineering Manager, ADAS
Lead and develop a team of machine learning engineers, balancing technical leadership with hands-on work to bring computer vision models into production ADAS programs on embedded automotive hardware.
Data Scientist, Robotaxi Performance & Capability
Analyze real-world driving, validation, and operational data to measure Robotaxi readiness, identify performance and capability gaps, and guide engineering priorities toward safe, reliable driverless service.
Lead Wayve’s Product Engineering organization, setting the technical direction and delivering production-quality autonomous driving, active safety, and parking capabilities through data-driven AI development.
Develop computer vision models and ground-truth datasets that describe driving scenes, uncover rare scenarios and performance gaps, and support the training and evaluation of safer driving systems.
Lead customer-facing robotaxi programs with Japanese OEMs, translating customer needs into technical requirements and internal priorities while coordinating delivery, milestones, risks, and stakeholder communication in Japanese and English.
Senior Software Engineer - Platform Integration, Robot Software
Integrate onboard software with vehicle hardware, bring up new vehicle platforms, and develop reusable components, diagnostics, and frameworks that support reliable deployment across multiple vehicle programs.
Coordinate high-volume interviews across multiple regions, keeping schedules, candidate communications and hiring records accurate while supporting recruiters and improving talent operations workflows.
Conduct on-road autonomous vehicle tests, monitor AI systems and respond to hazards, and provide structured driving feedback to engineering teams to improve vehicle performance and safety.
Lead functional safety for an automated driving system and its vehicle integrations, shaping safety concepts, architectures, verification and validation, and evidence for robust safety cases.
Staff Machine Learning Engineer, Data Curation & Dataset Strategy
Own the strategy and systems that score, select, and provision large-scale driving datasets for model training, balancing data value and quality with storage costs as the corpus grows.
Principal Data Engineer, Data Quality & Datasets Pipelines
Build and operate petabyte-scale data pipelines that filter, retain, move, and offload driving datasets, improving data quality and reducing storage costs while preserving valuable training data.
Develop and evaluate machine-learning methods that help autonomous-driving models transfer reliably across vehicle platforms, diagnosing real-world failures and improving production performance.
Principal Validation Tech Lead / Manager, L4 Driverless Autonomy
Lead validation strategy for L4 driverless autonomy, turning safety and product requirements into measurable tests, metrics, and evidence across simulation and physical vehicle testing.
Develop foundation models for general-purpose robots, combining hands-on manipulation and hardware work with research and engineering across mobile manipulators, dual-arm platforms, and humanoids.
Own the AI model release lifecycle, coordinating engineering and product teams to set release gates, manage risks and dependencies, and improve reliable deployment across vehicle systems.
Provide Japan-focused regulatory counsel for robotaxi deployment, leading regulator and police engagement, supporting licence applications and incident reporting, and advising on local commercial matters and partnerships.
Build and operate full-stack geospatial services, data pipelines, and route-planning applications that enrich fleet data and prepare map data for autonomous-driving training and simulation.
Engineering Manager, Experiment Platform, Robot Software
Lead and grow the Experiment Platform engineering team, owning the roadmap and delivery of reliable software for deploying models, running vehicle experiments, collecting data, and integrating with new vehicles and OEM partners.
Own automated verification for autonomous-driving embedded software, building reusable tests, investigating failures across engineering teams, and improving coverage, reliability, and release traceability.
Lead OEM customer programs for autonomous-driving software, translating technical requirements into development plans, coordinating cross-functional teams, managing risks and changes, and delivering milestones from early development.
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