Autonomous Driving Forensics Engineer β€” Hybrid London

Autonomous Driving Forensics Engineer β€” Hybrid London

Full-Time 59400 - 72600 Β£ / year (est.) Home office (partial)
Wayve

At a Glance

  • Tasks: Investigate and resolve issues in autonomous driving technology with a focus on system analysis.
  • Company: Wayve, a pioneering company in autonomous vehicle technology.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and problem-solving.
  • Why this job: Join a cutting-edge team and make a real impact on the future of transportation.
  • Qualifications: Experience in system analysis and a passion for autonomous technologies.

The predicted salary is between 59400 - 72600 Β£ per year.

Wayve is seeking an Autonomous Driving Forensics Engineer in London to investigate and resolve issues across the full AV stack. You will work closely with hardware, software, roboticists and model teams to identify root causes, test solutions, and deliver actionable insights that improve AV performance.

You will operate in a role focused on end-to-end system analysis, from data triage to incident response, with a strong emphasis on cross-functional collaboration and reproducible testing.

Autonomous Driving Forensics Engineer β€” Hybrid London employer: Wayve

Wayve is an exceptional employer that fosters a dynamic and innovative work culture, where software engineers can thrive while contributing to cutting-edge AI solutions. With a strong emphasis on employee growth, Wayve offers opportunities for professional development and collaboration in a hybrid work environment, allowing for flexibility and work-life balance. Located in a vibrant tech hub, employees benefit from a supportive community and access to industry-leading resources.

Wayve

Contact Details:

Wayve Recruitment Team

We think you need these skills to ace Autonomous Driving Forensics Engineer β€” Hybrid London

SQL
Python
Problem-Solving Skills
Communication Skills
Attention to Detail
Automation
Data Engineering