Jobs at Wayve

Lead Wayve's global marketing for AI Driver technology: define positioning, product narratives, brand strategy, digital and partner co-marketing, content, events, and a small marketing team. Drive integrated campaigns, measurement, budgets, KPIs and cross-functional alignment to support partner adoption and commercial growth.

Build and operate Wayve's security assurance capability: design risk-based assurance methodologies, test and validate control design and operating effectiveness, report findings, track remediation, support external certifications (TISAX, ISO 21434), and partner with engineering to move from periodic to continuous, automated evidence collection.

Lead end-to-end supply chain execution for prototypes, NPI, and fleet launches. Own material readiness, BOM translation, long-lead identification, supplier compliance, upfitter coordination, risk mitigation, and supply-chain KPI tracking and reporting across Engineering, Operations, and external partners.

Lead and grow a Runtime Platform engineering team responsible for application frameworks, middleware/IPC, performance, observability, and real-time scheduling for on-vehicle AI. Hire and coach engineers, set technical direction, own delivery and roadmap, maintain CI/HIL and quality gates, and collaborate with vehicle software, hardware, and OEM stakeholders to enable new platforms with minimal performance degradation.

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.

Lead integration of hardware and software for autonomous vehicles: architect and prototype hardware, perform system bring-up, support fleet troubleshooting, maintain development benches and HIL systems, and improve integration processes and tooling from prototype through deployment.

Lead cross-functional engineering programs (AI, software, robotics, data, validation). Define plans, manage risk and dependencies, align stakeholders, improve delivery efficiency, and drive continuous improvement to meet business goals.

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

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

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.

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.

Lead early-stage OEM engagements across Europe, managing RFQ/RFI and bid responses end-to-end. Coordinate product and engineering inputs, craft customer narratives and proposals, present to technical and executive stakeholders, and align internal teams to advance opportunities toward PoC and nomination.

Deliver production-ready ML model releases: train and iterate PyTorch models, evaluate and debug performance, apply optimizations (quantisation, distillation), collaborate with performance and deployment teams, and ensure models meet tight on-vehicle runtime constraints.

Optimize transformer-based ML inference for edge accelerators and GPUs. Implement and validate compiler, runtime, and kernel optimizations; profile end-to-end inference stacks; build benchmarking and regression tests; target multiple platforms (NVIDIA, Qualcomm); collaborate with model developers and cross-functional teams to deliver performant, maintainable on-vehicle ML systems and contribute to technical roadmaps.

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.