On-Device ML Power & Performance Engineer

Apple Inc.; Bridge Creek (OK); On-site; USD 171,000 - 300,000; Full time

Benefits offered by this job

Stock programs

Medical and dental coverage

Retirement benefits

Employee stock purchase plan discount

Relocation assistance

Job summary

Apple Inc. in the Siri AIML group seeks an exceptional power performance engineer to identify bottlenecks and optimize Siri's on‑device software stack for faster, more efficient results.

You will collaborate with silicon teams to specify hardware‑aware performance budgets, analyze bottlenecks, and mentor engineers while delivering high‑quality, scalable solutions across devices. The role demands deep systems knowledge, swift communication, and a passion for turning challenging problems into

Qualifications

• BS/MS/PhD in Computer Science or equivalent with 4+ years of experience.
• Strong software development and systems knowledge with performance focus.
• Experience optimizing software for on-device hardware and ML inference.
• Excellent communication and collaborative skills.

Responsibilities

• Identify bottlenecks and optimize Siri software stack for on-device efficiency.
• Define performance requirements and resource budgets in collaboration with silicon teams.
• Analyze performance data, measure impact, and guide optimization efforts.
• Mentor and motivate engineers to deliver high‑quality features at scale.

Skills

Software development

OS & Computer Architecture

Performance bottleneck analysis

ML on-device inference

Communication skills

Team collaboration

Education

BS/MS/PhD in Computer Science or equivalent

Tools

Swift

Objective-C

Apple development tools

Performance analysis tools

Job description

Apple Inc. in the Siri AIML group seeks an exceptional power performance engineer to identify bottlenecks and optimize Siri's on‑device software stack for faster, more efficient results.

You will collaborate with silicon teams to specify hardware‑aware performance budgets, analyze bottlenecks, and mentor engineers while delivering high‑quality, scalable solutions across devices. The role demands deep systems knowledge, swift communication, and a passion for turning challenging problems into