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
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
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.
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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