In this role, you will be responsible for bringing up and validating new Apple Silicon while developing internal software platforms for the hardware and lab organization. You will work on debugging silicon, automating data collection and processing, and building scalable data pipelines. The position requires collaboration with various teams to enhance data exploration and implement observability mechanisms. This is a unique opportunity to contribute to tools that improve the debugging process for millions of Apple customers.

• BS and 10+ years of relevant industry experience.
• MS in Electrical Engineering, Computer Engineering, or a related field with 6+ years of experience.
• Direct experience with silicon bring-up or hardware validation, including register-level debug.
• Strong Python fundamentals with a proven record of building and maintaining production-quality internal tools.
• Proven collaborator across teams with clarity, ownership, and timely communication.
• Hands-on experience with lab/test instrumentation and instrument automation.
• Experience with device/fleet monitoring systems.
• Experience with AI-assisted development or agentic workflows.
• Experience developing and maintaining applied ML or statistical modeling pipelines.
• Prior experience publishing technical work in relevant conferences or venues.

• Bring up and validate new Apple Silicon at the bench.
• Debug silicon that has never run before and tackle hardware issues as they surface.
• Develop methods to improve and automate the collection, storage, processing, and visualization of silicon validation data.
• Build and deploy scalable data pipelines using scheduling systems.
• Automate the setup of silicon validation environments and manage data migration across systems.
• Integrate with lab hardware to configure devices and manage network environments.
• Build AI/ML based tools that accelerate data analysis and integrate with existing platforms.
• Track power utilization of lab equipment and optimize for future demand through predictive modeling.
• Collaborate closely with hardware, software, and infrastructure teams to enable rapid data exploration.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.