Imagine the incredible possibilities at Apple. New ideas transform into extraordinary products, services, and customer experiences quickly. Passionate and dedicated work pushes boundaries. The dynamic workforce, inspired by innovative technologies, fosters creativity and innovation. Apple Hardware products have revolutionized industries. Our passion for innovation permeates every aspect of our practices. We’re committed to leaving the world better. Join us in delivering groundbreaking Apple products! Apple’s Display EE Core Technology Team is the brains behind cutting-edge display tech. We’re on the hunt for an expert engineer to bring innovative display algorithms and architectures to life on our next-gen display pipeline across Apple’s display portfolio.

DESCRIPTION

As a highly skilled engineer in the Core Technology Team, you will be responsible for and actively involved in the following: - Develop novel algorithms to meet critical display use cases, and break them down into sub-architectures as display requirements to collaborate on implementations with key cross-functional partners including SoC, Display Silicon, Display Module, SW, and factory. - Conduct comprehensive visual and quantitative assessments of the algorithms and architectures. - Enhance tools to speed up the design-to-validation cycle and evaluate new display features’ efficacy and user benefits using live and field data. - Investigate and analyze issues to find gaps and opportunities, and propose alternative algorithms and architecture designs.

MINIMUM QUALIFICATIONS

• B.S. in EE/CS or equivalent and a minimum of 10 years relevant industry experience
• Experience with traditional image/video processing algorithms and/or architectures.
• Experience with high-level programming languages such as C/C++, MATLAB, Python, etc.

PREFERRED QUALIFICATIONS

• M.S or Ph.D. in EE/CS, or equivalent with 3+ years of relevant industry experience.
• Experience with hands-on AI/ML approaches in real-life applications.
• Knowledge in color and vision science.
• Knowledge in front-of-screen validation and evaluation.
• Excellent written and verbal communication skills.
• Excellent math and analytical skills.

Please refer the Job description for details