Job Details

Lab and Data Automation Engineer

Cupertino, California, United States

Hardware

Summary

Posted: Jun 18, 2025

Role Number: 200609374

In this highly visible role, you will develop automation flows to store, analyze, and visualize Apple Silicon data, while also enabling instrument tracking and network automation for secure, scalable data collection. At Apple, we work every single day to craft products that enrich people’s lives. If you love working on challenges that no one has solved yet and automating tasks that span across multiple continents, we have the perfect opportunity for you. As a part of our extremely dynamic and forward-thinking group, you will have the rare and exciting opportunity to craft nuanced products that will surprise and delight millions of Apple’s customers every day.

Description

In this role, you will develop methods to improve and automate the collection, storage, processing, and visualization of silicon validation data from labs worldwide. You’ll build and deploy scalable data pipelines using scheduling systems and design infrastructure to support distributed validation across bare metal macOS, Docker, and Kubernetes environments.

You will also automate the setup of silicon validation environments and manage data migration across systems. A part of the role includes instrument tracking and network automation—integrating with lab hardware to configure devices, manage network environments, monitor instrument status, and collect validation data securely and at scale.

For efficient and insightful data analytics, you’ll build AI/ML based tools that accelerate data analysis and integrate with existing data analysis platforms. This includes tracking power utilization of lab equipment, identifying patterns in usage, and optimizing for future demand through predictive modeling.

This work involves close collaboration with hardware, software, and infrastructure teams to enable rapid data exploration, debug large-scale systems, and implement alerting mechanisms that enhance observability and transparency across automation workflows.

Minimum Qualifications

• BS and 3+ years of relevant industry experience.

Preferred Qualifications

• Proficiency in Python and best practices for automation and tooling.

• Experience building and maintaining CLIs, APIs, and end-to-end data pipelines using schedulers and orchestration tools.

• Familiarity with databases (SQL/NoSQL), file systems, and object storage.

• Hands-on experience with Docker, Kubernetes, CI/CD pipelines and version control systems.

• Proven track record to debug, deploy and support distributed systems in production.

• Experience automating network configuration and diagnostics to streamline lab setup and improve reliability.

• Experience designing secure data infrastructure with authentication, RBAC, and environment isolation.

• Proven collaborator across teams, emphasizing clarity, ownership, and timely communication.

• Experience working with scalable object storage and distributed file systems in cloud environments.

• Experience developing, deploying, and maintaining applied ML or statistical modeling pipelines to analyze lab and system data at scale.

• Experience implementing alerting and monitoring systems for workflow health and failure detection.

Pay & Benefits

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 $143,100 and $264,200, 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. (https://www.apple.com/careers/us/benefits.html)

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.