UI Engineer (C++), Racing Game Studio β€” Hybrid in Royal Leamington Spa

UI Engineer (C++), Racing Game Studio β€” Hybrid in Royal Leamington Spa

Royal Leamington Spa Full-Time 40000 - 50000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Create awesome UI features for an exciting racing game.
  • Company: Playground Games, a leading studio in the gaming industry.
  • Benefits: Hybrid work model, relocation assistance, and a chance to work on a published title.
  • Other info: Collaborative environment with opportunities for growth in the gaming world.
  • Why this job: Join a passionate team and shape the future of gaming experiences.
  • Qualifications: Strong C++ skills and experience with at least one published game.

The predicted salary is between 40000 - 50000 Β£ per year.

Playground Games Limited, based in Royal Leamington Spa, is looking for a UI Engineer to develop key UI features for their next title. This fixed-term role involves collaboration with multiple teams to enhance user experience using core technology.

The ideal candidate has strong C++ skills and a genuine passion for games, with experience on at least one published title. This position offers a hybrid work model with relocation assistance available.

UI Engineer (C++), Racing Game Studio β€” Hybrid in Royal Leamington Spa employer: Playground Games Limited

Playground Games Limited is an exceptional employer, offering a dynamic work culture that fosters creativity and collaboration among passionate gaming professionals. Located in the vibrant Royal Leamington Spa, employees benefit from a hybrid work model, competitive relocation assistance, and ample opportunities for personal and professional growth within the gaming industry.

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Contact Details:

Playground Games Limited Recruitment Team

We think you need these skills to ace UI Engineer (C++), Racing Game Studio β€” Hybrid in Royal Leamington Spa

C++
UI Development
User Experience Enhancement
Collaboration
Game Development
Published Title Experience
Hybrid Work Model Adaptability