Apple
Overview
Lab and Data Automation Engineer Cupertino, California, United States. Hardware In this highly visible role, you will develop automation flows to store, analyze, and visualize Apple Silicon data, while enabling instrument tracking and network automation for secure, scalable data collection. Responsibilities
Develop methods to improve and automate the collection, storage, processing, and visualization of silicon validation data from labs worldwide. Build and deploy scalable data pipelines using scheduling systems and design infrastructure to support distributed validation across bare metal macOS, Docker, and Kubernetes environments. Automate the setup of silicon validation environments and manage data migration across systems. Instrument tracking and network automationintegrating with lab hardware to configure devices, manage network environments, monitor instrument status, and collect validation data securely and at scale. Build AI/ML based tools to accelerate data analysis and integrate with existing data analysis platforms, including tracking power utilization and predicting future demand. Collaborate 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. The base pay range for this role is between $147,400 and $272,100, 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 Apples discretionary employee stock programs. Youll also receive benefits including comprehensive medical and dental coverage, retirement benefits, discounts on products and services, and reimbursement for certain educational expenses. This role might be eligible for discretionary bonuses or relocation benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. EEO & Compliance
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. Apple participates in the E-Verify program where required by law. Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. Reasonable Accommodation and Drug Free Workplace policies apply where applicable. #J-18808-Ljbffr
Lab and Data Automation Engineer Cupertino, California, United States. Hardware In this highly visible role, you will develop automation flows to store, analyze, and visualize Apple Silicon data, while enabling instrument tracking and network automation for secure, scalable data collection. Responsibilities
Develop methods to improve and automate the collection, storage, processing, and visualization of silicon validation data from labs worldwide. Build and deploy scalable data pipelines using scheduling systems and design infrastructure to support distributed validation across bare metal macOS, Docker, and Kubernetes environments. Automate the setup of silicon validation environments and manage data migration across systems. Instrument tracking and network automationintegrating with lab hardware to configure devices, manage network environments, monitor instrument status, and collect validation data securely and at scale. Build AI/ML based tools to accelerate data analysis and integrate with existing data analysis platforms, including tracking power utilization and predicting future demand. Collaborate 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. The base pay range for this role is between $147,400 and $272,100, 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 Apples discretionary employee stock programs. Youll also receive benefits including comprehensive medical and dental coverage, retirement benefits, discounts on products and services, and reimbursement for certain educational expenses. This role might be eligible for discretionary bonuses or relocation benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. EEO & Compliance
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. Apple participates in the E-Verify program where required by law. Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. Reasonable Accommodation and Drug Free Workplace policies apply where applicable. #J-18808-Ljbffr