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.
Minimum Qualifications
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
Preferred Qualifications
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: e3b32eb00a0a340c465ee2d517e43864
- Posted 30+ days ago
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