Senior ML Engineering Manager, Application Software (US) at Wayve

Sunnyvale, California, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, AI, AutomotiveIndustries

Requirements

Deep technical expertise in ML, robotics, systems integration, hardware-software interfacing, and vehicle testing
Proven leadership skills to build and mentor high-performing engineering teams
Experience thriving in fast-moving, startup-like environments with high independence
Broad systems perspective and hands-on technical depth
Excellent leadership, communication, and operational decision-making skills
Highly desirable: Experience working with OEMs and vehicle programs

Responsibilities

Build and lead a self-sufficient AV development team in the US, hiring and mentoring top talent across robotics and ML
Deliver autonomy capabilities tailored to US road conditions and driving norms, in close collaboration with central Autonomy teams
Act as the primary technical and operational bridge between the US 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 the US — 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 the US

Skills

Machine Learning

Autonomous Driving

Software Engineering

Leadership

OEM Partnerships

Vehicle Integration

Embodied AI

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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