GPU Design Engineer – Memory Hierarchy
Apple
Apply to this jobDo you love creating elegant solutions to highly complex challenges? As part of our Silicon Technologies group, you’ll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You’ll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Join us to help deliver the next groundbreaking products containing an Apple designed GPU. As part of the GPU Memory Hierarchy Design team, you’ll be responsible for crafting and building a GPU that enriches the lives of millions of people every day!
Description
As a GPU Design Engineer, you will participate in micro-architecture specification and RTL coding. Explore architecture trade-offs in performance, area and power consumption. You will collaborate with verification team for functional simulation and debug. You will go beyond the industry norm and demonstrate creativity in problem solving, ability to think dynamically outside of standard convention, and quickly adapt to new technical areas.
Minimum Qualifications
Experience and knowledge of CPU or GPU architecture
Experience in one of the following areas: cache, on-chip interconnect network, data compression or GPU pipeline
Experience in timing and power optimization
Proficiency in Verilog/System Verilog and HDL
Minimum of BS degree and 3+ years of relevant experience.
Preferred Qualifications
Knowledge of high performance, low power designs
Experience in debugging performance issues
Experience with scripting languages such as Perl, Python and Ruby
Ability to work well in a team with strong communication skills
Summary
Design and optimize GPU memory hierarchy, participate in architecture and RTL coding.
Job title
GPU Design Engineer – Memory Hierarchy
Experience level
3+ years
Minimum experience
3+ years exp
Industry
software
Location requirements
Santa Clara, onsite preferred, remote may vary
Salary
Not specified
Management role
No
Required skills
Preferred skills
Specializations
Structured locations inferred from the posting.
Santa Clara, CA, USA