Senior Cloud Performance Engineer

Apple Inc

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$175,000–$263,300 / yr
Posted
122 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $220k
This role $219k
$163k most similar roles pay here $290k

This role pays more than 51% of similar roles. Most pay $196,087–$244,237 — the shaded band above. At the midpoint, this role pays about $219k versus about $220k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Senior Cloud Performance Engineer

As an Apple Intelligence Senior Cloud Performance Engineer within the Apple Service Engineering team, you will drive innovation by building and integrating technologies that power essential services. You will be responsible for the performance of Private Cloud Compute running Apple Intelligence in the cloud, collaborating cross-functionally with architecture, platform design, SOC architects, and software teams to define product targets and develop automation and infrastructure tools. The role requires deep expertise across the stack from SOC to software, specifically addressing the technical challenges of GenAI LLMs and traditional ML systems. You will utilize C/C++, Python, Swift, SQL, and Shell for scripting and programming while leveraging telemetry tools like Splunk, Grafana, and Prometheus. Your work involves performance modeling for Transformer models and managing data via platforms such as Hadoop, Spark, or Snowflake to ensure optimal system performance.

What you'll do

  • Ensure the performance of Private Cloud Compute running Apple Intelligence in the cloud.
  • Define power and performance targets for Apple Intelligence products in collaboration with architecture teams.
  • Develop automation and infrastructure tools to evaluate product performance.
  • Optimize performance across the entire stack, from SOC hardware to platform and software layers.
  • Model and debug Transformer models, LLM inference, and training processes.
  • Implement and coordinate telemetry using monitoring and observability tools like Splunk, Grafana, and Prometheus.
  • Troubleshoot, debug, and reproduce complex system issues across cloud operations.
  • Analyze large datasets using SQL and platforms such as Hadoop, Spark, or Snowflake.

What we're looking for

  • Must have 10+ years of experience as a Performance Engineer.
  • Must possess an M.S. or Ph.D. in Computer Engineering, Electrical Engineering, or Computer Science.
  • Experience in data and AI fields including software architecture, AI engineering, or data science is required.
  • Must have experience with both traditional ML systems and GenAI LLMs.
  • Requires in-depth professional experience with cloud operations.
  • Must have a strong understanding of hardware components and hardware/software interaction.
  • Must possess knowledge of network technologies, protocols, and procedures for iOS and macOS.
  • Proficiency in C/C++, Python, Swift, SQL, and Shell is required.

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