In this role, you will validate new Apple Silicon while developing internal software platforms that support hardware and lab operations. You will work on debugging silicon, automating data collection, and building scalable data pipelines. The position involves close collaboration with various teams to enhance data exploration and implement monitoring systems. This is an opportunity to create tools that improve the efficiency of validation processes across global labs.

• BS and 10+ years of relevant industry experience or MS in Electrical Engineering, Computer Engineering, or a related field with 6+ years of experience.
• Strong Python fundamentals with proven ability to build production-quality internal tools, APIs, and services.
• Familiarity with databases (SQL/NoSQL), file systems, and object storage.
• Direct experience with silicon bring-up or hardware validation, including register-level debug.
• Experience with Docker and deploying/operating Kubernetes-based infrastructure.
• Hands-on experience with lab/test instrumentation and instrument automation.
• Experience automating network configuration and diagnostics for lab environments.
• Experience with device/fleet monitoring systems.
• Experience developing, deploying, and maintaining applied ML or statistical modeling pipelines.
• Prior experience publishing papers or technical work in relevant conferences.

• Bring up and validate new Apple Silicon at the bench.
• Debug silicon that has never run before and tackle hardware issues in the lab.
• 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 monitor instrument status.
• Build AI/ML based tools for efficient data analytics and integrate with existing platforms.
• 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.