Top Engineering Jobs

Own end-to-end customer and system validation for enterprise and data-center SSD products. Plan qualification cycles, configure validation environments, develop test cases and automation, analyze failures, perform debugging and risk assessment, and coordinate with firmware, hardware, systems, and product teams. Provide technical ownership, mentorship, and guidance across validation programs while supporting customer-specific platform qualification and compatibility testing.

Leads NAND product engineering and cross-functional development from silicon through SSD integration and customer qualification. Translates business requirements into qualification specifications, develops AI-enabled workflows for data analysis and program management, coordinates engineering, fabrication, testing, quality, supply chain, and design teams, and guides resolution of NAND-system issues. Organizes capability reviews, leads product development meetings, and supports on-time delivery of next-generation NAND products.

Own customer-focused system and SSD validation for enterprise and data-center products, including planning qualification cycles, maintaining test environments, analyzing results, debugging system and drive issues, reproducing customer problems, and developing automated test cases and scripts. Coordinate with firmware, hardware, and systems teams, lead validation execution, contribute to test strategy, mentor engineers, and apply AI to improve organizational efficiency.

Own customer-focused system and SSD validation for enterprise and data-center products. Plan qualification and regression cycles, maintain test environments, analyze results, debug system and drive issues, develop automation and test cases, and coordinate with firmware, hardware, and systems teams. The role also mentors engineers, contributes to validation strategy, supports customer qualification programs, and drives root-cause resolution across complex hardware and software environments.

Join Micron as a Semiconductor Engineer to improve production processes and workflows in a team-focused, supportive environment. No prior experience needed.

The Test Automation Handler Engineer will address product issues, optimize manufacturing processes, coordinate procurement, and implement new technologies while ensuring safety and compliance in assembly processes.

Supports new SSD product launches and high-volume reliability testing by setting up test stations, validating firmware and scripts, coordinating tester transfers, monitoring reliability performance, and preparing customer reports. Leads failure investigation, electrical failure analysis, root-cause assessment, corrective-action validation, and JIRA tracking. Operates and optimizes ongoing reliability testing, maintains test equipment and connections, supports lab safety and inventory activities, and applies Python and AI coding tools to improve data analysis.

Maintains and enhances process control system reports, portals, monitoring tools, and supporting workflows in a semiconductor manufacturing environment. Coordinates PCS requests and improvement actions with process owners and engineering teams, documents business rules and best practices, and supports automation, AI-enabled solutions, reporting, analysis, and productivity initiatives.

Own lab infrastructure operations, including system bring-up, equipment deployment, platform validation, configuration, maintenance, automation, and troubleshooting. Support server, GPU, FPGA, AI, memory, and environmental test platforms while enabling workload characterization, trace analysis, performance testing, and customer activities. Develop Python or shell automation, manage assets and calibration, and resolve hardware, firmware, software, networking, power, and thermal issues across global engineering teams.

Monitor and improve semiconductor manufacturing equipment performance, uptime, utilization, reliability, yield, and productivity. Troubleshoot failures, lead root cause analysis, implement corrective and preventive actions, and support maintenance programs. Lead equipment installation, commissioning, and qualification. Analyze manufacturing data and apply AI, machine learning, automation, and digital tools to improve operations. Ensure safety and environmental compliance, train technicians, and collaborate across engineering, production, quality, and maintenance teams.