GPU Engineer, Platform Architecture
Cupertino, California, United States
Hardware
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, inquisitive people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it!
The Platform Architecture GPU group is looking for a talented GPU Engineer with strong skills in Linear Algebra and Machine Learning software, HW and algorithms.
Key Qualifications
- Experience in design or architecture of acceleration hardware for linear algebra
- Experience in writing shader code (GLSL / HLSL / OpenCL / CUDA) desired
- Strong experience with software architecture and development desired
- Experience with distributed algorithms for HPC desired
Description
As part of the team, a successful candidate will:
- Assist in hardware performance analysis, linear algebra and machine learning algorithm research, and optimization
- Contribute to development of modeling tools and infrastructure necessary to do exploratory design and performance studies
- Drive implementation of new machine learning techniques to improve user experiences across a wide range of products and applications
- Be responsible for tracking upcoming trends in machine learning hardware and software across a wide range of application types, and assisting in driving product development directions
Education & Experience
BS and a minimum of 3 years relevant experience. MS or PhD in Computer Science, Electrical Engineering, or equivalent is preferred.