- Apple
- Austin, TX
- Full-Time
- 45 days ago
Performance and Modeling Engineer.
Before you go
Before you leave us, sign up for our email alerts
We don't do job spam, just the best digital jobs delivered straight to your inbox.
Performance and Modeling Engineer: our view in 3 lines...
- The Role:This role is for an engineer developing and validating GPU hardware models and architecture for Apple.
- The Person:The person will develop architectural and functional GPU models, debug regression failures to root cause, review specification documents, support model use during bring-up, maintain documentation, and improve modeling infrastructure and tools.
- Requirements:The ideal candidate has a bachelor’s degree in Mathematics, Computer Science or a related field, plus experience with C++, Python, CUDA programming, C, C++, low level assembly, and shell scripting.
About the role
Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn't have imagined, and now, can't imagine living without. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do.
Description
APPLE INC has the following available in Austin, Texas. Develop architectural models for the development, validation, and verification of graphics processing unit design. Contribute to functional models for hardware/software (HW/SW) co-validation. Monitor and triage regression failures and debug failures to root cause. Handle and fulfill additional modeling related feature requests from neighboring teams. Review and scope product architecture teams’ specification documents, provide feedback for issues and mistakes. Support GPU hardware and software teams’ model usage during model and design bring-up. Maintain documentation for new properties and features added to functional models. Improve modeling infrastructure and tools. 40 hours/week.
Minimum Qualifications
Bachelor’s degree or foreign equivalent in Mathematics, Computer Science or related field.
Experience and/or education must include:
Utilizing Object oriented programming languages like C++ and Python to work on large codebases
Leveraging knowledge of GPU computing including CUDA programming for GPU level workloads
Using advanced knowledge of computer systems and architecture to design and simulate hardware
Using proficiency in algorithms and data structures for efficient computation and hardware model development
Utilizing experience in debug of C, C++, and low level assembly for GPU models
Leveraging experience in application performance analysis, tuning and developing debug tools for hardware models
Utilizing knowledge of low-level hardware concepts (caches, pipelining, memory management, coherency) to analyze and improve hardware model fidelity
Leveraging knowledge of software build systems using shell scripting and associated utilities to manage the build process to maintain and improve GPU model
Preferred Qualifications
N/A