Senior ML EM, App SW at Wayve

Japan

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, AI, RoboticsIndustries

Requirements

Strong background in robotics and autonomy (essential, with experience across AV systems)
Proven leadership skills, including building and leading self-sufficient teams, hiring, and mentoring top talent across robotics and ML
Experience thriving in self-directed, startup-like conditions with significant autonomy
Ability to set vision, execute fast, make robust independent decisions, and stay aligned with global efforts
Breadth of experience across AV systems, including robotics, machine learning, and systems integration (deep ML expertise a major plus)
Passion for building robust autonomous systems that adapt to diverse real-world challenges

Responsibilities

Build and lead a self-sufficient AV development team in Japan, hiring and mentoring top talent across robotics and ML
Deliver autonomy capabilities tailored to Japanese road conditions and driving norms, in close collaboration with central Autonomy teams
Act as the primary technical and operational bridge between the Japan office and HQ, aligning roadmaps and communicating local insights
Drive full-cycle development: from identifying local autonomy needs, to designing, implementing, testing, and deploying features into production
Ensure the team upholds Wayve’s high engineering standards, while operating with agility and independence
Work closely with OEM partners in Japan — representing Wayve’s autonomy team in technical discussions, capturing product requirements, and shaping joint development plans
Establish close working relationships with our product and vehicle operations teams in Japan

Skills

Machine Learning

Robotics

Autonomous Driving

Application Software

Leadership

Team Management

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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