Job description

In this role, you will analyze existing and new workloads to identify performance bottlenecks in the hardware and/or software. Working with your colleagues, you'll address performance limitations and provide recommendations for Apple hardware and software improvements. In addition to working directly with developers, you will identify patterns of performance challenges on Apple silicon, emerging new usage models, and provide feedback to the silicon and software teams for potential improvements. Bachelor’s degree or equivalent job-related experience in Computer Engineering, Computer Science, or a related field. Experience in software development for at least one of the following hardware IPs: AI/ML HW accelerators, GPUs processing units, image/video encoders, or similar. Experience with AI/ML, graphics, or HPC performance benchmarks and workloads. M.S. or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field. 10+ years of relevant experience in software performance optimization, performance analysis tools, performance optimization process and development of efficient computational algorithms. Knowledge of computer architecture fundamentals. Proficiency in some of the C/C++ family programming languages, and scripting languages such as Python. Ability to prototype and benchmark algorithms on CPU, GPU, and Neural Engine platforms, analyze performance metrics, and create high-level complexity models, or develop targeted highly efficient low-level performance libraries for AI/ML accelerators or GPUs. Proficiency in popular AI/ML frameworks, such as PyTorch, and relevant software stacks. Knowledge of operating system internals and compiler technologies. Technical aptitude and curiosity, as well as ability to collaborate effectively with team members, partners, and stakeholders.

Requirements

Must-haves

Bachelor’s degree or equivalent job-related experience in Computer Engineering, Computer Science, or a related field.
Experience in software development for at least one of the following hardware IPs: AI/ML HW accelerators, GPUs processing units, image/video encoders, or similar.
Experience with AI/ML, graphics, or HPC performance benchmarks and workloads.
M.S. or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field.
10+ years of relevant experience in software performance optimization, performance analysis tools, performance optimization process and development of efficient computational algorithms.
Knowledge of computer architecture fundamentals.
Proficiency in some of the C/C++ family programming languages, and scripting languages such as Python.
Proficiency in popular AI/ML frameworks, such as PyTorch, and relevant software stacks.
Knowledge of operating system internals and compiler technologies.
Technical aptitude and curiosity, as well as ability to collaborate effectively with team members, partners, and stakeholders.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlpython

Platform: apple
Effort: medium