Job Description:

We are on a mission to revolutionize fashion e-commerce and we are seeking highly motivated, team-oriented Unreal Engine developers to join our journey. If you enjoy solving complex challenges, thinking creatively, and developing digital solutions for real-world problems alongside the biggest brands in the world, we want to hear from you!

Our company is leveraging breakthroughs in AI, computer graphics, and gaming technology to create a personalized, digital try-on experience that is the only accurate and elegant 3D solution in the market today. The experience we provide empowers online shoppers to make informed purchasing decisions, leading to fewer returns, while encouraging them to explore and experiment with their style in real life and the Metaverse.

In this role, you will design, develop, and maintain services written in Unreal Engine that cater to our real-world customers.

Responsibilities:

  • Architect and build a responsive, web-based service on Unreal Engine.
  • Serve as the "go-to" person for solving challenging technical problems.
  • Utilize your skills to build, evolve, and optimize these rendering services for the best customer experience.

Requirements:

  • Minimum of 3-5 years of Unreal development experience.
  • Recent experience with Unreal Engine 4 or 5.
  • Expertise in animation, shaders, and pixel streaming.
  • Developed production code using C++ and/or Blueprints.
  • Used Unreal engine to build real-world applications.
  • Experience in creating multi-user applications.
  • Good understanding of how Unreal deals with state.
  • Experience with designing modular and scalable software.
  • Writes clear, legible, and understandable code.
  • Demonstrated experience in taking projects from idea to completion.
  • Located in the US, preferably in the Pacific Time zone.
  • Excellent online communication and team collaboration skills; English proficiency is a must.

Bonus Points:

  • Experience deploying Unreal on AWS or Google Cloud.
  • Knowledge of Docker or Kubernetes.
  • Familiarity with auto scaling, data capture, service monitoring, and logging.

Full Time

08:00 am - 05:00 pm

Remote

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