If you are passionate about computer graphics and working with leading graphics engineers on Intel's latest GPU/CPU architecture, then our Graphics & Throughput Computing Hardware Engineering (GTCHE) team has opportunities for you. We are passionate about delivering best-in-class visual experiences for users to immerse themselves. The Visual and Machine Learning IP team is within GTCHE delivering discrete and integrated graphics IPs to client and datacenter market. In this position as a Graphics Hardware Timing Signoff Methodology Engineer you will be part a world-class IP physical design team developing groundbreaking high-performance GPU/GFX IPs that are targeted for High-End Graphics, Gaming, Artificial Intelligence, Media processing, and more. This is a great opportunity to join a talented team that is innovating in ASIC implementation and verification of multi-million gate designs in advanced process nodes across multiple foundries.
Your responsibilities may include, but not be limited to:
Behavioral traits that we are looking for:
Minimum skills and experience that will get you noticed:
This position requires a Bachelor’s Degree in Electrical/ Electronics, Computer Engineering or related discipline with 7+ years of experience. Or a Master's degree in the same field with 5+ years of experience.
Your experience should be in one or more of the following areas:
Preferred skills and experience that will make you stand out:
Intel Architecture, Graphics, and Software (IAGS) brings Intel's technical strategy to life. We have embraced the new reality of competing at a product and solution level—not just a transistor one. We take pride in reshaping the status quo and thinking exponentially to achieve what's never been done before. We've also built a culture of continuous learning and persistent leadership that provides opportunities to practice until perfection and filter ambitious ideas into execution.
US, Arizona, Phoenix
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.