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Wayve AI Driver

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About

Wayve develops breakthrough AI technology for autonomous vehicles, specifically the "Wayve AI Driver" product. This technology aims to deliver unmatched driving performance and address complex challenges in autonomous driving. They are committed to building trustworthy and beneficial technology, focusing on embodied AI. Wayve has raised over $1 billion to develop embodied AI products for automated driving and partners with leading brands like Microsoft, Nvidia, Uber, Asda, and Ocado to develop commercial-scale AV2.0 technology. Their self-driving tech is headed to Nissan vehicles, demonstrating their capability to reshape the future of mobility through generation-defining AI.

Platform
Web
Task
vehicle operating

Features

integration into major vehicle brands

partnerships for commercial-scale av2.0 technology

develops trustworthy and beneficial technology

focuses on embodied ai research

addresses complex autonomous driving challenges

delivers unmatched driving performance

breakthrough ai technology for vehicles

Job Opportunities

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Wayve AI Driver

Engineering Director - Validation

Wayve AI Driver is an advanced AI technology enabling autonomous vehicles to achieve unmatched driving performance and navigate complex challenges in self-driving.

engineeringhybridSunnyvale, USfull-time

Education Requirements:

  • BS or MS in Computer Science, Engineering, or similar experience

Experience Requirements:

  • 3+ years of leading complex teams with multiple management layers

  • Domain knowledge: validation methods – by design, system decomposition, traceability, statistical approaches

  • Domain knowledge: neural net understanding/introspection and/or validation

  • Domain knowledge: robotics including computer vision and motion – scenario understanding and simulation

  • Execution skills: resource allocation, program planning and execution

Other Requirements:

  • Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

  • Define and own the technical vision, strategy and metrics for your area, ensuring its teams and the rest of Wayve are aligned and galvanised

  • Design and grow a Validation engineering organisation covering model releases and system level validation

  • Cover all our AV product requirements (safety, utility, comfort) on a set of reference platforms with automated tests

  • Find architectural and implementation gaps throughout our systems

  • Drive requirements into our tooling development – simulators, generative AI, scenario understanding

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Engineering Manager - Datasets Enrichment

Wayve AI Driver is an advanced AI technology enabling autonomous vehicles to achieve unmatched driving performance and navigate complex challenges in self-driving.

Experience Requirements:

  • 2+ years of engineering management experience in data, ML, or perception domains

  • Proven experience designing and scaling ML or data processing systems in production

  • Strong systems thinking across latency, throughput, observability, and robustness

  • Technical fluency in Python and/or modern data stack (e.g. Spark, Ray, Flyte, Databricks)

  • Track record of delivering high-quality engineering outcomes in complex domains

Other Requirements:

  • Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

  • Lead, grow, and mentor a team of 5–8 engineers across ML, perception, and data domains

  • Define and scale data enrichment pipelines, including semantic segmentation and cuboid annotation

  • Set and drive quality and throughput goals for all enrichment outputs

  • Drive architecture decisions that ensure robustness, efficiency, and scalability

  • Partner with infra and platform teams to productionize enrichment systems

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Engineering Manager - Machine Learning, Training Libraries

Wayve AI Driver is an advanced AI technology enabling autonomous vehicles to achieve unmatched driving performance and navigate complex challenges in self-driving.

Experience Requirements:

  • Demonstrated ability to build, manage and grow high-performing Machine Learning Engineering teams

  • Strong hands-on development experience in designing, implementing and maintaining high quality software systems, ideally in Python

  • Solid understanding of machine learning fundamentals

  • Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables

  • Track record of promoting software engineering best practices and excellence within the team

Other Requirements:

  • Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

  • Lead a team of software engineers and ML engineers, providing clarity for execution and support for personal growth

  • Collaborate with other leaders across ML modeling, data engineering and infrastructure to understand their needs and communicate your roadmap

  • Prioritise effectively, implement and maintain lean and effective team processes

  • Build resilient and reliable systems and teams, anticipate the needs of the business 18 months out, identify areas where additional resources are needed and grow team as hiring manager

  • Lead technical discussions and guide technical direction where needed

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