Autonomous Driving Forensics 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

$256.9M

Founded

2017

Headquarters

London, United Kingdom

Growth & Insights
Headcount

6 month growth

7%

1 year growth

17%

2 year growth

84%
Locations
London, UK
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Science
Pytorch
Pandas
Linux/Unix
CategoriesNew
AI & Machine Learning
Requirements
  • 3+ years experience working with complex systems for robotics
  • Excellent critical thinking and problem solving skills
  • Prior experience of designing real-world robotics experiments
  • Great communication skills
  • Comfortable using statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, scipy)
  • Hands-on experience operating in a remote linux environment
  • Track record of influencing team and company direction through findings
Responsibilities
  • Investigating overall robot performance in an on road environment
  • Providing actionable insight to development teams based on knowledge of robotic systems
  • Identifying systemic issues within the full end to end stack for the AV vehicles
  • Working cross functionally with hardware and software engineers, roboticists, platform developers, model development and operational teams
  • Prototyping methods of analyzing data to draw meaningful conclusions for future development
  • Utilizing video and simulation data to provide evidence-based strategy insights that drive model and software performance improvements
  • Troubleshooting technical issues and driving testing to ensure efficient progress through fast iterations
Desired Qualifications
  • Practical experience with machine learning (e.g. pytorch)
  • Passion to take research ideas to production
  • Track record of promoting statistical rigour and experimental best practices in prior roles
  • Experience working in a fast-moving tech company or startup
  • Strong software development skills in C++ and/or Python