Senior End to End Performance Engineer

Apple Inc.; Seattle, Northern (WA, KY); Hybrid; USD 175,000 - 309,000; Full time

Job summary

Apple Inc. in Seattle is seeking a System Performance Engineer to ensure end-to-end performance of Private Cloud Compute and Apple Intelligence in the cloud. You will collaborate with architecture, SOC, and software teams to set performance targets and own a functional area of the product.

The role requires deep technical depth across the stack, strong problem-solving and communication skills, and experience with monitoring and automation in cloud environments.

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

Responsibilities

• Ensure end-to-end performance for Apple Private Cloud Compute.
• Collaborate with architecture to define product and performance targets.
• Work with SRE to assess end-to-end performance and develop automation tools.
• Develop tooling to evaluate performance of Apple Intelligence products.
• Communicate findings clearly to stakeholders.

Skills

Performance engineering

Cloud operations

Networking protocols

C/C++

Python

SQL

Shell

Education

Bachelor's degree in CS/Engineering

Tools

Splunk

Grafana

Prometheus

Job description

Seattle, Washington, United States Software and Services

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

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 $175,000 and $308,500, 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.

Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

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Apple accepts applications to this posting on an ongoing basis.