System Performance Engineer

System 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 power and 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:

• 3+ years of experience as a Performance Engineer
• Strong experience in data and AI-related fields such as software architecture or AI engineering, software development, data science, data analysis, or data lead roles, with experience across both traditional ML systems and GenAI LLMs.
• In-depth professional experience with cloud operations
• Strong understanding of hardware components and hardware/software interaction
• Proven understanding of network technologies, protocols and procedures for iOS and macOS
• Proven track record to own a complete functional area of an application or product
• Able to work independently and should be dedicated
• Excellent communication & interpersonal skills
• Comfortable with troubleshooting/debugging/reproducing issues
• Scripting and programming skills in C/C++, Python, SQL, Shell
• M.S., or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science

Preferred Qualifications:

• Ability to implement and coordinate telemetry using monitoring and observability tools such as Splunk, Grafana, and Prometheus
• Proficiency in SQL and experience with at least one major data analytics platform, such as Hadoop, Spark, or Snowflake.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.