SW Optimization Engineer AI/ML

Tusk; Neubiberg; Vor Ort; EUR 120.000 - 190.000; Vollzeit

Zusammenfassung

Apple in Neubiberg, Germany is seeking a senior software performance engineer to analyze workloads and optimize Apple Silicon performance across CPU, GPU, and Neural Engine. You'll collaborate with hardware and software teams to model performance, prototype optimizations, and benchmark across CPU, GPU, and ML accelerators, delivering high-impact improvements for future Apple silicon architectures.

Role emphasizes performance studies, algorithmic optimization, and tool development for profiling

Qualifikationen

• Bachelor's degree or equivalent in Computer Engineering or CS.
• Knowledge of computer architecture fundamentals.
• Proficiency in C/C++ and Python.
• Experience with hardware IPs such as AI/ML accelerators or GPUs.

Aufgaben

• Conduct performance studies to inform architecture decisions.
• Create optimized implementations of ML workloads on Apple Silicon.
• Collaborate with system teams to model performance and analyze trade-offs.
• Develop performance analysis tools and optimized libraries/frameworks for AI/ML workloads.

Kenntnisse

Computer Architecture

C/C++

Python

AI/ML HW accelerators

GPU/Neural Engine knowledge

Ausbildung

Bachelor's degree in Computer Science / Engineering

Jobbeschreibung

Summary

At Apple, our Platform Architecture group is responsible for connecting our hardware and software into one unified system. You'll collaborate with engineers across Apple to design how all of our technologies work in unison, drive development of our renowned system-on-a-chip (SoC) architecture, and develop forward-looking prototype systems and software. Our team is driving performance enhancements in application and system software and developing novel algorithms to deliver integrated, highly optimized solutions based on Apple Silicon. 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.

Description

• Conduct performance studies to inform and validate architecture decisions.
• Create optimized implementations of machine learning workloads on Apple Silicon, including Neural Engine, GPU, and CPU.
• Collaborate with system teams to create performance models of emerging AI/ML techniques and analyze system architecture trade-offs.
• Work with software development tools teams to deliver performance analysis instruments and optimized libraries and frameworks for AI/ML applications.

Minimum Qualifications

• Bachelor's degree or equivalent job-related experience in Computer Engineering, Computer Science, or a related field.
• Knowledge of computer architecture fundamentals.
• Proficiency in some of the C/C++ family programming languages, and scripting languages such as Python.
• 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.

Preferred Qualifications

• 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.
• Ability to prototype and benchmark algorithms on CPU, GPU, and Neural Engine platforms, analyze performance metrics, and create high-level complexity models.
• Experience with AI/ML, graphics, or HPC performance benchmarks and workloads.
• Proficiency in popular AI/ML frameworks, such as PyTorch, and relevant software stacks.
• Experience in developing highly efficient low-level performance libraries for AI/ML accelerators or GPUs.
• 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.

At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.

At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple's workplace

Role Number: 200625319-6887