Data Engineering Manager at Wayve

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, AI, TechnologyIndustries

Requirements

(Not explicitly listed in the job description)

Responsibilities

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

Skills

Data Engineering

Data Platform

SaaS

Data Ingestion

Data Standardization

Autonomous Driving Data

Performance Monitoring

Leadership

Scalability

Wayve

Develops autonomous vehicle technology using AI

About Wayve

Wayve.ai develops self-driving technology known as AV2.0, which focuses on creating a smarter and safer approach to autonomous vehicles. Their technology uses embodied AI software that allows vehicles to learn from their experiences and adapt to different environments without needing detailed programming. This method is different from traditional self-driving technologies that often rely on expensive hardware and pre-mapped data. Instead, Wayve.ai employs end-to-end deep learning, making their solution more cost-effective for automakers. The company targets automakers and fleet operators, offering them adaptable and affordable solutions for driving automation. Wayve.ai has already partnered with major retailers in the UK to test its technology in delivery fleets, aiming to enhance mobility and sustainability in the automotive industry.

London, United KingdomHeadquarters

2017Year Founded

$1,272.3MTotal Funding

SERIES_CCompany Stage

Automotive & Transportation, AI & Machine LearningIndustries

201-500Employees

Benefits

Hybrid Work Options

Risks

Increased competition in San Francisco could dilute Wayve's market presence.

Regulatory challenges may delay the deployment of Wayve's technology with Uber.

Wayve's reliance on AI systems may face skepticism from traditional automakers.

Differentiation

Wayve uses embodied AI to adapt vehicles to any environment without explicit programming.

Its AV2.0 technology eliminates the need for costly robotic stacks and complex mapping.

Wayve's end-to-end deep learning approach offers a cost-effective solution for automakers.

Upsides

Wayve's partnership with Uber expands its market reach and data collection opportunities.

The expansion into the U.S. market taps into a larger talent pool and partnerships.

Generative AI models like GAIA-1 offer new ways to simulate driving scenarios.

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