Graphics (GPU) Performance Analysis Engineer
Apple
- Location
- Onsite (Austin, Texas · Santa Clara, California)
- Employment
- Full-time
- Level
- Mid Level
Posted 3 days ago
About the Role
Join Apple's Silicon Technologies group to design and manufacture next-generation, high-performance, power-efficient processors and system-on-chips. As a GPU Performance Analysis Engineer, you will work with architecture and software partners to analyze, tune, and debug future GPU architectures, ensuring seamless efficiency for Apple's beloved devices.
Skills
GPU Architecture
Performance Analysis
Verilog
C
C++
Python
Computer Architecture
Hardware Debugging
Performance Tuning
System-on-Chip
Hardware Validation
Algorithm Optimization
Problem Solving
Analytical Skills
Communication Skills
Full job details
Do you love creating elegant solutions to highly complex challenges? In our Silicon Technologies group, we 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! Joining this group means you’ll be responsible for crafting and building the technology that fuels Apple’s devices. Together, you and your team will enable our customers to do all the things they love with their devices. In this role as part of the GPU Performance Analysis team, you will be working with architecture, design, and software partners on performance analysis, tuning, and debug of Apple’s future GPU architectures!
As a GPU Performance Analysis Engineer, your responsibilities will include the following: - Developing performance test plans to validate GPU performance. - Analyzing performance issues to identify hardware and software problems. - Proposing novel hardware solutions to improve GPU performance. - Developing tools to aid in the efficient measurement, communication and improvement of GPU performance. - Validating the functionality and quantify the performance benefit of the features and algorithms implemented in hardware and software.
Experience or coursework in computer architecture. Experience with Verilog, C and C++. Experience with scripting language Python. Minimum BS degree.
Experience in GPU architecture is a plus, but not required. We are looking for fast learners with good problem solving and analytical skills. Ability to work well in a team and be productive under aggressive schedules. Excellent communications skills, self-motivated and well organized.
Description
As a GPU Performance Analysis Engineer, your responsibilities will include the following: - Developing performance test plans to validate GPU performance. - Analyzing performance issues to identify hardware and software problems. - Proposing novel hardware solutions to improve GPU performance. - Developing tools to aid in the efficient measurement, communication and improvement of GPU performance. - Validating the functionality and quantify the performance benefit of the features and algorithms implemented in hardware and software.
Minimum Qualifications
Experience or coursework in computer architecture. Experience with Verilog, C and C++. Experience with scripting language Python. Minimum BS degree.
Preferred Qualifications
Experience in GPU architecture is a plus, but not required. We are looking for fast learners with good problem solving and analytical skills. Ability to work well in a team and be productive under aggressive schedules. Excellent communications skills, self-motivated and well organized.