Staff Engineer , ESSD Validation

Analyze validation results, identify quality risks, and provide clear recommendations to stakeholders and leadership.

Communicate validation status, technical risks, mitigation plans, and project progress effectively across organizations.

Influence and lead cross-functional teams to execute validation strategies and achieve program milestones.

Operate effectively in ambiguous environments and independently drive high-impact initiatives to completion.

Mentor engineers and promote technical excellence, automation, and best practices across the validation organization.

Leverage AI-powered engineering tools and approved enterprise AI solutions to improve test development, debug efficiency, data analysis, and reporting workflows.

Identify opportunities to apply AI and machine learning techniques for automating validation workflows, failure analysis, anomaly detection, and predictive quality analytics.

Drive adoption of AI-enabled solutions to reduce manual effort, enhance test coverage, accelerate issue triage, and improve validation throughput.

Utilize Generative AI tools for code generation, test case development, log analysis, technical documentation, and productivity enhancement while adhering to company policies.

Champion responsible and ethical AI practices, ensuring compliance with Micron AI governance, security, privacy, and data protection requirements.

Mentor teams on effective AI adoption, prompt engineering techniques, and AI-assisted engineering workflows to improve organizational productivity and innovation.

Required Experience

6-12 years of experience in Embedded Firmware, Storage Systems, or SSD Validation Engineering.

4+ years of SSD Firmware Validation experience is highly preferred.

Strong understanding of SSD architecture, NAND Flash technologies, and storage subsystems.

Deep knowledge of NVMe, PCIe, OCP Cloud SSD, and enterprise storage specifications.

Experience with Datacenter Compute and Storage environments such as Microsoft Hyper-V, VMware vSphere, VSAN, and cloud infrastructure is a strong plus.

Strong hands-on experience debugging NVMe/SAS protocol issues using protocol analyzers such as LeCroy and JDSU.

Experience developing comprehensive validation plans involving I/O workloads, NVMe protocols, media management, endurance, and reliability testing.

Experience using storage validation platforms and tools such as Medusa, SanBlaze, OakGate, UNH, PCIe-CV, and related qualification suites.

Experience integrating tests into automated validation frameworks and continuous integration environments.

Proven ability to drive complex technical issues to closure across multiple organizations.

Experience reviewing, analyzing, tracking, and documenting validation results and product quality issues.

Demonstrated leadership in driving validation strategies for large-scale programs and customer engagements.

Successful Candidates Will Have

Technical Skills

Bachelor's or Master's Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.

Strong programming expertise in Python and test automation framework development.

Strong Linux and Windows debugging experience.

Excellent knowledge of storage systems and platform architecture, including CPU, Memory, PCIe, Drivers, Operating Systems, Firmware, and Hardware interactions.

Strong analytical, problem-solving, and debugging skills.

Experience with large-scale automation environments and continuous validation systems.

Ability to analyze complex technical data and make informed engineering decisions.

AI & Data-Driven Engineering Skills

Demonstrated proficiency in leveraging AI tools to improve engineering productivity and technical decision-making.

Understanding of Generative AI, Large Language Models (LLMs), prompt engineering, and practical AI use cases within engineering workflows.

Experience using AI-assisted development tools for scripting, debugging, test generation, report creation, and knowledge discovery.

Knowledge of machine learning fundamentals, data analytics, and AI-enabled automation techniques is highly desirable.

Ability to critically review and validate AI-generated outputs and apply engineering judgment to ensure technical accuracy.

Commitment to responsible AI usage, data governance, security, privacy, and ethical AI practices.

Leadership & Professional Skills

Excellent verbal and written communication skills.

Strong project planning, execution, and organizational skills.

Ability to lead multiple priorities and programs simultaneously.

Ability to influence cross-functional teams without direct authority.

Strong collaboration and stakeholder management skills.

Proven mentoring and technical leadership capabilities.

Results-oriented mindset with the ability to drive execution in fast-paced and ambiguous environments.

Preferred Qualifications

Experience working directly with hyperscale, enterprise, or cloud storage customers.

Experience applying AI/ML techniques to validation, quality engineering, or system analytics.

Experience building data-driven dashboards, predictive quality models, or intelligent test orchestration systems.

Active contributor to automation, innovation, and continuous improvement initiatives within engineering organizations.