AI Inference Platform Performance Lead

Apple Inc.; Seattle (WA); On-site; USD 175,000 - 309,000; Full time

Benefits offered by this job

Medical and dental coverage

Retirement benefits

Discounted products and free services

Tuition reimbursement

Job summary

Apple Inc. in Seattle seeks a senior engineer to build tooling, automation, and analysis capabilities that strengthen our AI inference platform.

You will develop performance benchmarking systems, capacity projection models, and data pipelines that inform infrastructure teams and capacity planners. This cross‑functional role sits at the intersection of AI systems performance, distributed infrastructure, and software engineering, translating complex data into actionable guidance for scaling and

Qualifications

• BS or MS in Computer Science or related technical field.
• Strong knowledge of AI/ML inference architecture and the performance characteristics of serving systems.
• 7+ years of experience in performance and infrastructure engineering in distributed systems.
• 7 years of coding experience in Python, Go, C++, or other programming languages.
• Experience with automation engineering, tooling, and data pipelines to support engineering workflows.
• Strong knowledge of GPU/accelerator architecture as it relates to AI workloads.
• Practical statistical knowledge applicable to performance analysis and forecasting.
• Excellent communication skills and ability to turn data into clear guidance for infrastructure teams and capacity planners.

Responsibilities

• Design and build automations to evaluate AI inference performance across hardware generations and configurations.
• Develop tooling to surface performance trends, regressions, and insights to infrastructure and planning teams.
• Build projection and forecasting models to support long-term capacity planning decisions.
• Analyze performance and utilization data to identify bottlenecks, trends, and optimization opportunities.
• Partner with AI infrastructure engineers, hardware teams, and capacity planners to deliver critical data and tooling.
• Create and enhance performance analysis workflows to increase team velocity and data reliability.
• Continuously improve the accuracy, coverage, and usability of performance measurement and analysis systems.

Skills

Performance engineering

Distributed systems

Python

Go

C++

Automation engineering

Data pipelines

GPU architecture

Statistics

Communication

Education

BS or MS in Computer Science or related technical field

Tools

Nsight

Prometheus

Grafana

Kubernetes

TensorRT-LLM

Job description

Apple Inc. in Seattle seeks a senior engineer to build tooling, automation, and analysis capabilities that strengthen our AI inference platform.

You will develop performance benchmarking systems, capacity projection models, and data pipelines that inform infrastructure teams and capacity planners. This cross‑functional role sits at the intersection of AI systems performance, distributed infrastructure, and software engineering, translating complex data into actionable guidance for scaling and