Develop and implement qualification and reliability test methodologies for advanced storage systems.
Perform large-scale data analysis of storage behavior, focusing on finding anomalies and improving the overall storage product.
Design and maintain automation tools, dashboards, and analysis scripts (Python, SQL, Matlab, etc.) to accelerate debug and improve reporting.
Collaborate closely with cross-functional Apple teams (FW, Algorithms, System teams)
Drive triage and root-cause across device, firmware, algorithms, and system domains; propose fixes and track closure to sign-off.
Communicate results and recommendations to both technical and executive audiences.
Requirements: BSc in Electrical Engineering, Computer Engineering, or related field.
Strong programming skills (Python, SQL, Matlab, C/C++), with proven experience building and designing automation tools.
Proven ability to analyze large datasets, perform error/anomaly analysis, and create custom tooling for debug and reporting.
Experience applying GenAI workflows to accelerate code design, automation and analysis.
Strong problem-solving and communication skills for cross-functional team collaboration.
Experience with reliability testing, error analysis, and algorithm development
Solid understanding of semiconductor devices, NAND flash, or memory/storage systems Advantage.
This position is open to all candidates.