Senior End to End Performance Engineer

Apple • Seattle, WA

8d

About The Position

Join the Apple Service Engineering (ASE) team and drive innovation that matters!
The ASE team builds and provides systems and infrastructure that fuel Apple’s
services. As part of this team, you will be responsible for building and
integrating technologies that enhance people’s lives. We are also tasked with
enabling Apple Intelligence and Private Cloud Compute in the cloud. We are
seeking a System Performance Engineer with a proven track record of developing
technology that has made a significant impact.

DESCRIPTION

Collaborate cross-functionally with architecture, platform design, SOC
architects, and software teams to deliver exceptional end-to-end performance
that delights our customers. In this role, you’ll be responsible for the
performance of one or more products. Specifically, you’ll be tasked with
ensuring the end-to-end performance of Private Cloud Compute running Apple
Intelligence in the cloud. This position demands technical expertise and depth
to work on various elements of the stack, from SOC to the platform, software
stack, and communication with the external world. You’ll collaborate with
architecture teams to define the product and set its performance targets, and
with the SRE team to assess end-to-end performance and develop automation and
infrastructure tools to evaluate the performance of our Apple Intelligence
products. Strong problem-solving skills and effective communication are crucial
for success in this role.

Requirements

• 5+ years of experience as a Performance Engineer
• In-depth professional experience with cloud operations
• Experience with monitoring and observability tools such as Splunk, Grafana, and Prometheus
• Proven understanding of network technologies, protocols, and procedures for iOS and macOS
• Proven track record of working independently to own a complete functional area of an application or product
• Excellent communication & interpersonal skills
• Comfortable with troubleshooting/debugging/reproducing issues
• Scripting and programming skills in C/C++, Python, SQL, Shell
• Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field

Nice To Haves

• Experience with both traditional ML systems and GenAI LLMs
• Experience with data analytics platforms, such as Hadoop, Spark, or Snowflake
• Understanding of hardware components and hardware/software interaction

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level