Slam Lead – Robotics
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
London, UK
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Computer Vision
CategoriesNew
AI & Machine Learning
Mechanical Engineering
Software Engineering
Requirements
  • Experience as a core developer/researcher in SLAM, Visual Odometry, Localisation or State Estimation codebase
  • Experience deploying SLAM systems to real world, e.g. AVs, AR/VR, UAV
  • Strong C++ and Python fundamentals
Responsibilities
  • Build a robust SLAM system which runs at scale across 100’s of vehicles and millions of hours of driving data, producing high quality supervision signals for model training
  • Set technical direction for SLAM codebase and drive execution
  • Be an advocate for best practices and state of the art within Robotics
Desired Qualifications
  • PhD in computer vision, 3D geometry, SLAM, localisation, mapping, or other relevant field
  • Experience deploying SLAM systems at scale in outdoor environments
  • Experience with Ceres or similar nonlinear least squares optimisation framework
  • Experience with sensor modalities other than cameras, e.g. lidar, radar, inertial