Senior Vehicle Attributes Engineer - Autonomous Mobility in Harwell

Senior Vehicle Attributes Engineer - Autonomous Mobility in Harwell

Harwell Full-Time 63000 - 77000 £ / year (est.) No working from home possible
Zoox

At a Glance

  • Tasks: Lead teams to define performance targets for autonomous vehicles and enhance driver experiences.
  • Company: Zoox, a pioneer in autonomous ride-sharing technology.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Exciting work environment with a focus on groundbreaking technology.
  • Why this job: Join a cutting-edge team shaping the future of mobility and innovation.
  • Qualifications: Experience in vehicle attributes engineering and strong collaboration skills.

The predicted salary is between 63000 - 77000 £ per year.

Zoox is building a fully autonomous ride‑sharing platform and is seeking a Staff Vehicle Attributes Engineer in the UK.

You will lead cross‑functional attribute teams, define performance targets, and bridge the gap between complex technical constraints and driver experiences.

Based in Banbury, you will collaborate with robotics, controls, and vehicle engineering experts to ensure our platform is world‑class.

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Senior Vehicle Attributes Engineer - Autonomous Mobility in Harwell employer: Zoox

At Zoox, we pride ourselves on being an innovative employer that fosters a collaborative and dynamic work culture. Our commitment to employee growth is evident through our comprehensive training programs and opportunities for advancement within the rapidly evolving field of autonomous vehicles. Located in a vibrant tech hub, we offer unique advantages such as access to cutting-edge technology and a diverse team of experts dedicated to pushing the boundaries of what's possible.

Zoox

Contact Details:

Zoox Recruitment Team

We think you need these skills to ace Senior Vehicle Attributes Engineer - Autonomous Mobility in Harwell

Cross-Functional Team Leadership
Performance Target Definition
Technical Constraints Analysis
Driver Experience Optimisation
Collaboration with Robotics Experts
Collaboration with Controls Engineers
Collaboration with Vehicle Engineering Experts