Staff Engineer , ESSD Validation

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.