HIL Systems Engineer - Autonomous Vehicle Validation

HIL Systems Engineer - Autonomous Vehicle Validation

Full-Time 59400 - 72600 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and improve automated systems for testing autonomous vehicles.
  • Company: Wayve, a pioneering tech company in London focused on autonomous vehicle technology.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Be part of a dynamic team with a mission to revolutionise transportation.
  • Why this job: Join a cutting-edge team and shape the future of autonomous driving.
  • Qualifications: Experience in systems engineering and a passion for innovation.

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

Wayve in London is building a new team to develop verification and validation infrastructure, including automated Hardware-in-the-Loop systems for autonomous vehicles. As a HIL System Engineer, you will own the design, deployment, and continual improvement of scalable HIL benches across multiple vehicle platforms, from requirements to commissioning.

You will collaborate with software, hardware and system validation teams to ensure reliable, cost-efficient platforms, contributing to end-to-end.

HIL Systems Engineer - Autonomous Vehicle Validation employer: wayve

Wayve is an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. With a focus on employee growth, you will have the opportunity to work alongside talented AI engineers in a hybrid environment, contributing to groundbreaking advancements in autonomous driving while enjoying the vibrant atmosphere of London. Join us to make a meaningful impact in the field of AI and data science.

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Contact Details:

wayve Recruitment Team

We think you need these skills to ace HIL Systems Engineer - Autonomous Vehicle Validation

HIL Systems Design
Automated Testing
Vehicle Platform Knowledge
Requirements Analysis
Commissioning
Collaboration Skills
Cost Efficiency Analysis