Full-Time
Data Engineering Manager
Posted on 11/3/2025
Wayve
501-1,000 employees
Embodied AI autonomous driving software.
No salary listed
London, UK
Hybrid
London office; hybrid role with time split between office and remote work.
 Engineering Management (1) |
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- Experience in data platform or data engineering leadership roles, with proven delivery of scalable, production-grade systems.
- Strong track record in building and scaling data pipelines for complex, multi-source environments, including real-world telemetry and partner datasets.
- Expertise in data standardisation and schema design, enabling clean handoff of curated datasets into downstream ML and engineering pipelines.
- Hands-on experience with modern data orchestration and distributed processing frameworks (Airflow, Dagster, Flyte, Spark, Beam, etc.).
- Deep understanding of cloud-native architectures (Kubernetes, serverless, containerised data pipelines) and observability practices.
- Excellent cross-functional collaboration skills, with experience working across product, SaaS engineering, and ML/AI teams.
- Demonstrated technical leadership, with a track record of mentoring engineers and setting long-term data platform strategy.
- Bachelor’s degree or higher in Computer Science, Engineering, or related technical discipline.
- Define and execute the data platform architecture and roadmap for the Wayve Portal.
- Drive innovation in data pipelines and APIs to support dynamic use-cases such as performance dashboards, release analytics, and partner data exchange.
- Balance near-term MVP delivery with long-term scalability and resilience.
- Lead the design and implementation of data ingestion, transformation, and distribution pipelines powering the Portal.
- Build robust systems for normalising and unifying autonomous driving data — including fleet telemetry, simulation results, and partner datasets — into standardised formats.
- Ensure seamless, reliable handoff of curated data into Core Engineering systems for ML training, validation, and research.
- Enable feedback flows by integrating validation data and performance results from Core Engineering back into the Portal, powering dashboards, performance monitoring, and insights for customers.
- Develop extensible pipelines to support additional customer-facing insights, including trend analysis, release impact, and operational metrics.
- Enable self-serve data access for internal teams and customers, ensuring reliability and transparency.
- Establish and maintain data quality, observability, and monitoring standards across the platform.
- Partner with Core Engineering, ML, and robotics teams to align Portal data standardisation with internal model development needs.
- Collaborate with infrastructure and security teams to ensure robust identity, access management, and secure third-party data integrations.
- Work closely with product and design to ensure Portal data features deliver maximum customer value while meeting internal standards.
- Mentor and grow engineering talent, promoting technical excellence and strong delivery culture.
- Experience with autonomous driving or robotics data (sensor, perception, fleet telemetry, or simulation).
- Proven success in designing customer-facing data features (dashboards, monitoring, APIs) in a SaaS context.
- Familiarity with data governance, compliance, and security frameworks (GDPR, ISO, TSAX), and building secure data exchange pipelines with partners.
- Hands-on experience integrating observability and monitoring solutions (Prometheus, Grafana, Datadog, etc.) for mission-critical data systems.
Wayve.ai builds autonomous driving technology, focusing on AV2.0. Its main offering is embodied AI software that lets vehicles learn from experience and adapt to new environments using end-to-end deep learning, without relying on explicit programming, HD maps, or complex robotic stacks. The product works by training a neural system that drives from sensor inputs to control outputs, enabling driving behavior to improve through real-world data and interactions instead of hand-engineered rules. Compared with traditional self-driving stacks that depend on heavy mappings and modular software, Wayve.ai aims to be lean and scalable, reducing cost and enabling faster deployment for automakers and fleet operators. Its goal is to enable safer, more sustainable mobility and to bring driving automation to scale through commercially viable partnerships with automotive manufacturers and delivery fleets.
Company Size
501-1,000
Company Stage
Series D
Total Funding
$2.6B
Headquarters
London, United Kingdom
Founded
2017
Simplify's Take
What believers are saying
- AMD, Arm, Qualcomm invested $60M in April 2026 for silicon integration.
- Nissan targets AI in 90% vehicles; Tokyo robotaxi pilot late 2026.
- London trials and multi-city data flywheel enhance AI performance.
What critics are saying
- Waymo expands to London, capturing UK market share this year.
- Baidu undercuts Tokyo pilot with cheaper manufacturing in 2026.
- Nissan cuts models and workforce, delaying robotaxi by late 2026.
What makes Wayve unique
- Wayve uses end-to-end deep learning for mapless autonomous driving.
- Embodied AI adapts to any vehicle without HD maps or lidar.
- Vision-based system learns from camera data across environments.
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Benefits
Hybrid Work Options
Growth & Insights and Company News
6 month growth
↑ 1%1 year growth
↑ 1%2 year growth
↑ 3%The Institute for Driverless Transport event debates Britain's AV rollout. Engineers, lobbyists, taxi company representatives and experts converged on 1 Triton Square, London for Preparing for Driverless Cars: Exploring the Consequences for the UK - an event held in partnership with The Institute for Driverless Transport (IfDT). 2026 is set to be a year of sweeping changes as the UK as early implementation of sections the 2024 Autonomous Vehicle Act come into force, allowing AV pilots on Britain's roads for the first time. Waymo, Lyft and Uber (in partnership with Wayve and Baidu) have announced their intention to launch services this year. Round tables covered the opportunities and challenges of Geopolitics and Security, Productivity, Social Change, and Job Displacement. Quality of discussion was high, with lively critical debate across key topics, including remote control/access of AVs, implications for the insurance sector, the increased charging demands of electric AVs operating around the clock, and whether they will ultimately replace human operators entirely or simply carve out a complementary role alongside today's drivers. Christopher Court-Dobson
Wayve, the UK autonomous vehicle startup, has begun robotaxi trials in London following its $1.5 billion funding round earlier this year. The company is demonstrating its Level 3 autonomous technology to position itself as a contender in the capital's emerging robotaxi market. The startup recently provided test drives of its autonomous vehicles, showcasing its real-time capabilities to observers. Wayve's trials represent a significant step in bringing commercial autonomous taxi services to London's streets.
Wayve, Nissan unveil robotaxi ahead of Tokyo pilot. By Teresa De Alba | Jr Journalist & Industry Analyst - Fri, 03/20/2026 - 10:59 Wayve and Nissan will present a robotaxi prototype at NVIDIA GTC 2026, built on the NVIDIA DRIVE Hyperion architecture, marking a key milestone ahead of a planned pilot deployment with Uber in Tokyo starting in late 2026, subject to regulatory approvals. The companies said the prototype will serve as the baseline vehicle for the pilot program, part of a broader strategy to scale autonomous mobility services globally. The vehicle is based on the all-electric Nissan LEAF and integrates Nissan's vehicle engineering with Wayve's embodied artificial intelligence and NVIDIA's DRIVE Hyperion platform. Nissan said it is "developing a vehicle with fully redundant systems designed for robotaxi applications," targeting high levels of operational reliability and compliance with stringent autonomous safety standards. The system is engineered for Level 4 autonomy and utilizes dual NVIDIA DRIVE AGX Thor processors to enable real-time execution of advanced AI models. The platform runs on NVIDIA DriveOS and is supported by NVIDIA Halos, described as a comprehensive framework for functional safety and cybersecurity. According to the companies, the combined compute and sensor architecture is designed to meet the performance, redundancy and safety requirements necessary for autonomous driving in complex urban environments. The prototype incorporates a multi-layered sensor suite designed to ensure redundancy and full environmental awareness. It includes high-resolution cameras with 360-degree coverage, high-performance surround and forward imaging radar, and a forward-facing LiDAR system. The companies said this configuration provides complementary sensing modalities, enabling the AI system to interpret complex traffic scenarios and make driving decisions in real time. The platform also supports long-range sensing capabilities for data collection, validation and broader development use cases. Nissan indicated that further refinements are planned to prepare the vehicle for commercial robotaxi deployment. These include the integration of "intuitive in-cabin displays and communication systems" to enhance the passenger experience, signaling a parallel focus on user interface design alongside core autonomy functions. Wayve's AI Driver is based on an end-to-end embodied AI approach that processes sensor data directly into driving actions. The company emphasized that the system does not rely on high-definition maps, instead learning from real-world driving conditions to "understand complex traffic environments and make safe driving decisions in real time." The AI is designed to anticipate how traffic situations evolve and predict the downstream impact of its actions on other road users. The Tokyo pilot represents an initial deployment phase. Wayve and Uber said they plan to expand robotaxi trials to "more than 10 cities globally," with vehicles introduced progressively as validation milestones are achieved. The long-term objective is to transition from pilot programs with safety operators to fully scalable, commercially viable robotaxi services. Separately, Zoox and Uber announced a multiyear agreement to integrate Zoox robotaxis into the Uber app, marking the first time Zoox will offer rides through a third-party platform. The companies said Zoox vehicles will begin serving riders in Las Vegas this summer, with expansion planned to Los Angeles by mid-2027. In parallel, Uber Technologies said it will invest more than US$100 million to develop fast-charging hubs for autonomous vehicles in the United States.
Uber, Wayve and Nissan plan to launch a robotaxi service in Tokyo this year. Mar 12, 2026 - 08:00 Nissan will integrate Wayve's self-driving software into the Leaf with the goal of making the vehicles available on the Uber app in Tokyo.
Qualcomm and British self-driving startup Wayve have partnered to create an integrated AI system combining Wayve's "AI Driver" software with Qualcomm's Snapdragon Ride automotive chips. The platform aims to help carmakers rapidly deploy advanced driver-assistance and automated driving features across vehicle ranges. The system is designed to reduce complexity by integrating chips, safety systems and AI software from multiple suppliers, supporting features from hands-off assistance to advanced automated driving. It will scale across vehicle tiers and geographic markets, allowing manufacturers to standardise underlying technology. Founded in 2017, Wayve uses real-world driving data to train its AI model. The company raised $1.2 billion last month at an $8.6 billion valuation from investors including Mercedes-Benz, Nvidia, Nissan and Uber.