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SW Optimization Engineer AI/ML

Apple· Platform Architecture
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NeubibergFull-timePosted 3w ago

About the role

Performance-oriented role focused on analyzing workloads, identifying bottlenecks, and delivering optimized AI/ML implementations on Apple Silicon (Neural Engine, GPU, CPU). Collaborates across hardware and software teams to inform architecture decisions and develop performance tools and libraries.

Responsibilities

  • 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.

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.

Skills

Required:C/C++Python
Last updated Oct 23, 2026. Interested? Apply on the company site.

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