Principal Research Engineer
Confirmed live in the last 24 hours
Wayve

201-500 employees

Develops embodied AI for scalable autonomous vehicles
Company Overview
Wayve stands out as a leader in the autonomous vehicle industry, pioneering the use of embodied AI to develop AV2.0, a next-generation approach to self-driving technology that is adaptable, lean, and affordable. The company's unique approach leverages end-to-end deep learning, eliminating the need for costly robotic stacks and complex mapping, and has already been deployed on public roads, demonstrating its practical viability. With a diverse team of experts and partnerships with leading retailers for real-world testing, Wayve offers a dynamic and impactful work environment focused on addressing significant global challenges.
AI & Machine Learning
Robotics & Automation

Company Stage

Series B

Total Funding

$237M

Founded

2017

Headquarters

London, United Kingdom

Growth & Insights
Headcount

6 month growth

2%

1 year growth

12%

2 year growth

75%
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
CUDA
Data Structures & Algorithms
Computer Vision
CategoriesNew
AI & Machine Learning
Software Engineering
Requirements
  • 5+ years of software engineering experience in an industrial research environment
  • Passion to work in a team on research ideas that have real world impact
  • Strong software engineering experience in Python and other relevant languages (especially C++ and CUDA)
  • Ideally with direct experience working in at least one of computer vision, robotics, simulation, graphics, large language models
  • Ideally with several years working on large-scale machine learning algorithms and systems
  • BS, MS, or above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience
Responsibilities
  • Build, integrate, test and scale algorithms, tools, and machine learning solutions for autonomous driving
  • Work across the research team to develop end-to-end neural networks for autonomous driving
Desired Qualifications
  • Direct experience in computer vision, robotics, simulation, graphics, or large language models
  • Several years of experience in large-scale machine learning algorithms and systems