Job Description
This role is responsible for the technical aspects of graphics asset development, offline rendering, and 2D/3D image generation. This entails working closely with computer graphics and software engineering to run and support the asset pipeline, offline rendering tools, and simulation pipelines including artist- and data-driven solutions.
In this role, you will be working closely with a team of machine learning and computer graphics engineers to generate synthetic data involving digital humans using simulation pipelines. Synthetic images are generated in computer graphics or data-driven platforms, and used to inform hardware decisions and/or train machine learning models as a replacement for real data. You will help run, maintain, and optimize the simulation pipelines, improve the quality of our synthetic human identities, and validate the accuracy of the animations to meet the requirements of ML and HW teams. You need to have a working knowledge of Python programming and offline rendering environments, eg, Arnold.
Job Responsibilities:
• Partner closely with hardware, ML, research and product teams to define requirements and develop content
• Maintain and improve digital human assets used for synthetic data generation
• Optimize content through enhancing performance
• Run, provide feedback, file bugs, and help troubleshoot scalable solutions for asset creation, modeling and texturing
• Manage, own, and maintain the simulation pipeline jobs including contributing to tools and plug-ins for animation, simulations, analyzing data to improve synthetic identities.
• Develop broad technical expertise to assist in a wide variety technical and artistic tasks
• Adopt a “move fast” mentality and thrive in a dynamic, fast-paced environment
Required Skills:
• Working experience in offline rendering platforms, such as Arnold [Maya], Redshift, Renderman, or Blender.
• Python programming
• Experience with Unreal Engine is preferred
• Experience with character modeling, digital/virtual humans, and synthetic data generation
• Experience with image and video content delivery pipelines
• Creativity, verbal and written communication skills and problem solving ability are required.
• Verbal and written communication skills; communication across teams including engineers and researchers
• Ability to work independently and manage one’s time.
Education/Experience:
• Bachelor's degree in graphics or computer engineering or relevant field, or equivalent work experience required.
This is the pay range that the employer reasonably expects to pay for this position: $52.49/hour - $72.68 /hour
Optional Benefits: Medical, Dental, Vision, 401K
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