Engineering Manager, Collision Avoidance

Reposted 10 Days Ago
Be an Early Applicant
Sunnyvale, CA
In-Office
Mid level
Artificial Intelligence • Transportation
The Role
Lead a development team to prevent collision scenarios in autonomous vehicles, focusing on safety-critical systems through innovative algorithm and validation strategies.
Summary Generated by Built In

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition  (including breastfeeding) or any other basis as protected by applicable law.  

About us   

Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. 
In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  

Make Wayve the experience that defines your career!  

The role

As the Engineering Manager of Collision Avoidance, you will lead a development team focused on preventing and mitigating safety-critical collision scenarios. This team develops models that tackle fundamental questions about how we can guarantee the high bar of safety for end-to-end systems, and enable configurability, interpretability, and validation at scale. These models play a significant role in enabling L2+, L3, and beyond, requiring innovation in both algorithms and validation strategies.

We are looking for a system-oriented leader with cross-functional experience that is able to bring the worlds of machine learning, controls, and safety together.

Key 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.
About you  

In order to set you up for success as an Engineering Manager at Wayve, we’re looking for the following skills and experience.

Essential 

  • 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.

Desirable 

  • Experience with planning, control, and systems integration for autonomous vehicles.
  • Experience with performance evaluation of embodied AI systems.
  • Development experience in C++.
  • Experience with generative AI and simulation platforms.
  • Experience developing ML systems.
  • Knowledge of automotive safety regulations and their development processes.

This is a full-time role based in our office in Sunnyvale.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   We operate core working hours so you can determine the schedule that works best for you and your team. 

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

For more information visit Careers at Wayve. 

To learn more about what drives us, visit Values at Wayve 

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.



Top Skills

C++
Machine Learning
Software Engineering Best Practices
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The Company
HQ: London
200 Employees
Year Founded: 2017

What We Do

We're Wayve, a leading developer of embodied intelligence for autonomous vehicles. We use AI to pioneer a next-generation approach to self-driving: AV2.0, which enables fleet operators to unlock the benefits of AV technology at scale.

Founded in 2017, Wayve is made up of a diverse team of experts in machine learning and robotics. We were the first to deploy AVs on public roads with end-to-end deep learning. Today, our teams are based in London and California, and we're testing AVs in cities across the UK.

Inspired by our vision for a smarter, safer, more sustainable world, we're looking for people who are passionate about building breakthrough solutions to some of the world’s most important challenges. If you're looking for an exciting opportunity with a dynamic team, get in touch!

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