Vay

Principal AI Engineer, Autonomy

Vay

3 months ago
Berlin, Germany
Onsite
Full Time
Senior
1 applicant
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Vay
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About this role

The Principal AI Engineer will lead development of end-to-end foundation models for autonomous driving and drive their deployment into a commercial fleet. The role focuses on advancing Physical AI and multimodal model capabilities using large-scale datasets to improve real-world autonomy performance and unit economics. The position involves close collaboration with autonomy, data, and systems teams to transition research into production systems operating on public roads.

Skills

Qualifications

MSc/PhD in Computer Science, Computer Vision or Robotics
Vay

About Vay

vay.io

Vay develops remote-driving technology that lets vehicles be controlled and monitored from a distance as a practical alternative to full autonomy and private car ownership. Their platform combines in-vehicle software and connectivity with trained remote operators to enable driverless mobility services for ride‑hailing, fleet operations and urban transport. Vay emphasizes safety, rapid deployability and cost efficiency versus purely autonomous systems, aiming to accelerate scalable mobility solutions. They partner with vehicle manufacturers, fleet operators and cities to integrate remote‑driving capabilities into production vehicles and services.

About Vay

Headquarters

San Francisco, CA

Company Size

201-500 employees

Founded

2018

Industry

Technology

Glassdoor Rating

4.2 / 5

Leadership Team

Sarah Johnson

Chief Executive Officer

Michael Chen

Chief Technology Officer

Emily Williams

VP of Engineering

David Rodriguez

VP of Product

Jessica Thompson

Chief Financial Officer

Andrew Park

VP of Sales

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