AI Applications Architect for Hardware Engineering

Apple, Inc.

San Francisco (CA)

On-site

USD 175,000 - 309,000

Full time

3 days ago
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Benefits offered by this job

Medical and dental coverage
Retirement benefits
Discounted products and services
Tuition reimbursement
Relocation assistance
Stock programs

Job summary

Apple, Inc. is seeking a seasoned AI Application Engineer to design, build, and deploy intelligent systems powered by ML and large language models across Apple hardware platforms.

You will translate cutting-edge research into practical, scalable tools used by engineering teams across iPhone, iPad, Vision Pro, and more. The role blends applied AI with software development to accelerate decisions and deliver high-quality user experiences.

Qualifications

  • BS and 10+ years of industry experience.
  • Strong knowledge of generative AI and LLMs.
  • Proficiency in Python.
  • Excellent software engineering with OO design and best practices.
  • Experience working with cross-functional teams.

Responsibilities

  • Serve as a founding engineer to shape AI foundation and roadmap.
  • Identify gaps in hardware engineering workflows where AI can help.
  • Partner with hardware teams to define AI features and scope.
  • Evaluate and adopt enterprise AI solutions across Apple.
  • Benchmark, adapt, and integrate AI/ML models into existing software systems.
  • Architect and implement end-to-end software solutions where platforms fall short.
  • Deploy and support AI tools, including interfaces, for hardware teams.

Skills

Generative AI
Large language models
Python
Software engineering
Architecture design
Cross-functional collaboration
Cloud services
Containerization
UI/UX

Education

BS with 10+ years experience

Tools

PyTorch
TensorFlow
scikit-learn
Docker
Kubernetes
Cloud platforms

Job description

Apple, Inc. is seeking a seasoned AI Application Engineer to design, build, and deploy intelligent systems powered by ML and large language models across Apple hardware platforms.

You will translate cutting-edge research into practical, scalable tools used by engineering teams across iPhone, iPad, Vision Pro, and more. The role blends applied AI with software development to accelerate decisions and deliver high-quality user experiences.

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