On-Device Intelligence Orchestration Engineer

Apple Inc.; Cupertino (CA); On-site; USD 150,400 - 277,600; Full time

Benefits offered by this job

Comprehensive medical and dental coverage

Employee stock purchase plan

Reimbursement for educational expenses

Discounted products and services

Job summary

Apple Inc. is seeking a software developer in Cupertino, California to contribute to the Intelligence Orchestration team. You will own the development of daemons and frameworks that enhance Siri and other intelligent features across Apple devices.

The ideal candidate will have expert-level proficiency in C, Objective-C, or Swift, and will work closely with machine learning engineers. This role offers a salary range from $150,400 to $277,600, along with comprehensive benefits and the potential for stock options.

Qualifications

• Expert-level proficiency in C, Objective-C, or Swift.
• Knowledge of operating system architecture and systems programming fundamentals.
• Experience developing daemons, libraries, or command-line tools on a Unix or Linux platform.
• Familiarity with machine learning concepts.
• Analytical and debugging skills.

Responsibilities

• Design, develop, and maintain daemons and frameworks.
• Manage models for on-device inference.
• Schedule and optimize document processing workloads.
• Develop and improve unit tests and resolve customer-reported issues.
• Provide design guidance to partner engineering teams.

Skills

Expert-level proficiency in C, Objective-C, or Swift

Knowledge of operating system architecture

Experience developing daemons or tools on Unix/Linux

Familiarity with machine learning concepts

Analytical and debugging skills

Job description

Apple Inc. is seeking a software developer in Cupertino, California to contribute to the Intelligence Orchestration team. You will own the development of daemons and frameworks that enhance Siri and other intelligent features across Apple devices.

The ideal candidate will have expert-level proficiency in C, Objective-C, or Swift, and will work closely with machine learning engineers. This role offers a salary range from $150,400 to $277,600, along with comprehensive benefits and the potential for stock options.