Engineering Manager, Collision Avoidance at Wayve

Sunnyvale, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, AI, AutomotiveIndustries

Requirements

Proven track record of managing engineering teams
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
Demonstrated ability to manage software engineers and grow their careers
Good foundational coding knowledge and experience
Experience with planning, control, and systems integration for autonomous vehicles (desirable)
Experience with performance evaluation of embodied AI systems (desirable)
Development experience in C++ (desirable)
Experience with generative AI and simulation platforms (desirable)
Experience developing ML systems (desirable)
Knowledge of automotive safety regulations and their development processes (desirable)

Responsibilities

Help define and drive the Collision Avoidance roadmap, lead technical discussions and guide direction where needed
Build a resilient team which prioritises effectively, anticipates the needs of the business, and maintains a culture of impact
Understand Wayve’s end-to-end approach and how it maps to AV 1.0, drawing parallels in our development story and highlighting key advantages. This may include external engagements where necessary
Dive into data analytics, constructing evaluation suites, and get in-vehicle experiences from time to time to ground your understanding of the system
Drive cross-functional initiatives through effective communication, working through organisational boundaries when necessary to deliver on company goals and priorities

Skills

Engineering Management

Collision Avoidance

Embodied AI

Foundation Models

Autonomous Driving

Safety Engineering

End-to-End Systems

Model Validation

Interpretability

L2+ Systems

L3 Autonomy

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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