Drimva

Apple

AI Application Engineer

$175K–$325K

San Diego Metro Area, California +1 · Full-time · Posted Oct 29, 2026

Location
San Diego Metro Area, California
San Francisco Bay Area, California
Experience
Minimum of 10 years relevant industry experience; preferred: 5+ years of software development experience, including 2+ years developing AI-powered applications.
Education
BS; preferred: Master's or PhD in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.

About the job

Build and deploy AI-powered tools and platforms that improve hardware engineering design and system integration workflows across Apple products.

What you'll do

  • Shape the team’s AI technical foundation and roadmap; identify workflow opportunities and scope solutions with hardware teams.
  • Evaluate and integrate enterprise AI solutions and models, and build custom end-to-end software where existing platforms fall short.
  • Deploy and support AI tools, including user interfaces, for hardware engineering teams.

What they ask for

  • BS and a minimum of 10 years relevant industry experience.
  • Strong understanding of generative AI models, particularly large language models (LLMs).
  • Proficiency in Python.
  • Excellent software engineering skills, including modular and object-oriented design methodology and general SW best practices.

Nice to have

  • Experience designing and deploying agentic AI systems and integrating enterprise AI platforms.
  • Experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn); sensing systems or hardware integration is also relevant.

Pay

$175,000 to $308,500 USD base salary; $184,700 to $324,800 USD base salary

Tools

Python, LLMs, PyTorch, TensorFlow, scikit-learn

AI focus

Apply AI/ML and LLMs to hardware engineering workflows, including model evaluation and integration, intelligent agents, custom AI solutions, and production-ready tools.

Model-written summary · the original posting is authoritative

First seen Oct 30, 2026 · Last verified Nov 4, 2026 (UTC)