Jobs at Wayve

Define and manage technical architecture for integrating Wayve's autonomous driving software with OEM/Tier1 vehicle systems. Translate product and customer needs into interface contracts, ownership boundaries, integration specifications, test requirements, and program-facing documentation. Coordinate across Product, Software Architecture, Validation, and customer teams and represent Wayve in OEM/Tier1 technical discussions to identify risks, dependencies, and validation criteria.

As a Product Feature Owner, you will oversee ADAS features from concept to production, collaborating with OEMs and engineering teams to align features with customer needs and ensure compliance with industry standards.

The Applied Scientist will develop AI systems for autonomous driving, focusing on machine learning, simulation, robotics, and real-world deployment, while advancing embodied AI technologies.

As a Senior Software Engineer, you will evolve Wayve's simulation platform, focusing on robot emulator fidelity, visual fidelity, or scaling, integrating components and leading technical discussions.

Lead the autonomy performance for Robotaxi, connecting technical metrics to product outcomes, while overseeing performance measurements, debugging, and cross-functional team execution.

Lead the architecture and technical roadmap for Remote Assistance in robotaxi systems, ensuring safety, reliability, and effective cross-team collaboration.

Build and operate the AI Portal SaaS platform: develop services, APIs, integrations and UIs; improve reliability and observability; triage and resolve production incidents; participate in on-call rotation; deliver end-to-end product features for internal and partner customers.

Lead and execute large-scale training runs for video/foundation models, contribute to architecture and training strategy, improve world-model capabilities for synthetic scenario generation, partner across teams to deliver end-to-end solutions, and provide technical leadership and mentorship.

Lead end-to-end delivery of data and annotation operations: intake, estimation, scheduling, execution, QA, supplier coordination, and self-serve user enablement. Drive clarity, risk management, status communication, and continuous improvement to make data pipelines predictable and high quality across engineering, data science/ML, and external annotation partners.

The Staff ML Performance Engineer optimizes ML inference for edge devices, profiles performance bottlenecks, and implements improvements across systems while collaborating with model developers to enhance on-device performance.

As Director of AV Product Engineering, you will manage product engineering, develop autonomous vehicle capabilities, and lead multiple teams to ensure alignment with company objectives while fostering technical growth and innovation.

As a Data Scientist at Wayve, you will generate actionable insights using causal methods and statistical frameworks to support AV product teams, focusing on complex data analysis and experimental techniques.

Lead the design and delivery of the Data Transfer Hub, managing large-scale data transfer pipelines and working directly with partners like Uber and Nissan.

As a Staff Cloud Site Reliability Engineer, you will build and scale AI cloud platform reliability, define operational standards, and lead SRE initiatives.

The role involves building and scaling the reliability of AI cloud platforms, overseeing GPU compute infrastructure, incident response, and operational excellence while collaborating with various teams to enhance system efficiency and resilience.

As a Platform Engineer, you'll manage cloud infrastructure, enhance developer tooling, optimize CI/CD pipelines, ensure system security, and provide support for operations, contributing to team efficiency and productivity.

As a Data Scientist, you will generate insights to prioritize efforts and identify opportunities, focusing on experimental and causal inference methodologies.

Lead the development of an internal web application for computer vision model exploration and data labeling. Collaborate with stakeholders, integrate frontend with existing systems, and ensure maintainable code practices.

Design, deploy, and improve HIL systems for vehicle platform validation. Lead integration, manage hardware/software collaboration, resolve system issues, and enhance reliability.

Lead design, implementation and operationalisation of an ISO 9001-compliant Quality Management System and Integrated Management System. Drive certification readiness, document control, non-conformance and corrective action processes, partner with Product/Engineering/Safety/Security, run cross-functional programmes, and embed quality processes via governance, tooling and change management.