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Leads system-level validation, integration, and qualification of enterprise and datacenter NVMe SSDs. Directs test plans, system bring-up, OS and driver validation, failure analysis, customer joint qualification, and issue reproduction. Develops Python automation and AI-enabled validation workflows to improve coverage and efficiency. Collaborates with firmware, hardware, manufacturing, product, and customer engineering teams while mentoring engineers and ensuring production readiness.

Leads firmware verification strategy, test planning, automation, coverage closure, and failure analysis for NVMe enterprise SSD products. Architects Python-based automation frameworks, CI/CD and regression infrastructure, defines validation standards, reviews test code, mentors engineers, and partners with firmware architects to improve testability. The role also applies structured debugging, protocol analysis, AI-enabled workflows, and cross-functional risk management across multiple SSD programs.

As a Principal Engineer, you'll architect and implement security features for storage products, focusing on cryptography and cybersecurity across development lifecycles.

Develops firmware verification plans for enterprise SSD customer requirements and NVMe features. Builds and enhances Python-based test automation, reporting, and data-collection tools; executes validation and regression testing; analyzes failures and performs root-cause investigations. The role also applies machine learning, LLMs, and agent-based AI solutions to improve test development, workflow automation, failure analysis, and validation efficiency.

Develop firmware verification plans and test methodologies for enterprise SSDs and NVMe features. Build Python-based automation, reporting, and data-collection tools; analyze regression failures and perform root-cause analysis. Apply machine learning, AI-powered tools, and data-driven methods to improve test efficiency, failure detection, and workflow automation. Collaborate with firmware engineers, test developers, and AI/ML practitioners to improve product quality and reliability.

Validates enterprise SSD firmware by developing verification plans and test methodologies, automating workflows with Python, analyzing regression failures, performing root-cause analysis, and improving product quality. The role also applies machine learning, AI-powered tools, and data-driven methods to increase testing efficiency and failure detection. Collaboration occurs with firmware engineers, test developers, and AI/ML practitioners.

Validate enterprise SSD firmware through verification planning, test methodology development, automation, regression execution, and root-cause analysis. Develop Python-based testing, reporting, and data-collection tools while applying machine learning and AI-enabled workflows to improve failure detection, validation efficiency, scalability, and product quality. Collaborate with firmware engineers, mentors, and data scientists on NVMe feature validation and reliability testing.

Lead SSD system design and verification: debug cross-domain firmware/hardware issues, perform performance/power/thermal/reliability characterization, develop test and characterization methodologies, support DFMEA and design reviews, and collaborate with engineering, manufacturing, and customer teams to ensure compliance and product reliability.

As a Principal Systems Performance Engineer, you will develop performance models for Micron SSD and DRAM products, analyze workloads, and provide architectural insights to influence product decisions.

The manager will lead the NVMQRA team, ensuring product quality and reliability of non-volatile memory products through testing, collaboration, and continuous improvement.