Senior End to End Performance Engineer

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.

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.

5+ years of experience as a Performance Engineer\nIn-depth professional experience with cloud operations\nExperience with monitoring and observability tools such as Splunk, Grafana, and Prometheus\nProven understanding of network technologies, protocols, and procedures for iOS and macOS\nProven track record of working independently to own a complete functional area of an application or product\nExcellent communication & interpersonal skills\nComfortable with troubleshooting/debugging/reproducing issues\nScripting and programming skills in C/C++, Python, SQL, Shell\nBachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field

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