Top Engineering Jobs

Design, develop, and debug embedded software (bare-metal to embedded Linux) for custom semiconductor test equipment. Lead and supervise a local software team, collaborate with electrical, mechanical, and control engineers, support manufacturing and field service, and perform hands-on lab work and equipment interfacing. Integrate AI-assisted tools to improve workflows.

Lead shift-based thin films process development and wafer flow, manage and mentor engineers, partner with process/integration/equipment teams, ensure data quality and resolve yield/defect issues, and drive operational improvements using data science and AI-enabled approaches.

Lead MES and production scheduling improvements at Fab15 through AI, advanced analytics, automation, and data-driven optimization. Analyze equipment logs, reduce Q-time violations and equipment standby, manage Fab Auto Stage Ratio, develop dashboards and automation using SQL, RPA, APIs, UiPath, and Power BI, and improve MES troubleshooting. Drive global best-practice deployment, cross-site collaboration, Power User training, IE education, and project execution while supporting predictive analytics, anomaly detection, simulation, and responsible AI adoption.

Develops, optimizes, installs, qualifies, and sustains wet process equipment for advanced DRAM manufacturing. Partners with vendors, R&D, process engineering, and manufacturing teams to resolve hardware issues, complete tool upgrades, analyze performance data, and transfer processes into high-volume production. The role requires hands-on semiconductor equipment expertise, problem-solving, data analysis, and experience with spin clean and drying systems.

Leads global manufacturing equipment and capacity modeling, optimizing tool utilization, throughput, capital deployment, process flexibility, and equipment repurposing. Analyzes the financial and operational impacts of manufacturing changes, develops benchmarks and reports, and coordinates implementation across manufacturing, engineering, finance, procurement, supply chain, production, and planning teams. The role also explores AI-enabled tools to improve planning, reporting, and optimization.

Develop, maintain, validate, and optimize test programs for Micron SSD products in high-volume manufacturing. Automate test engineering processes with Python, improve test coverage and product quality, analyze test and manufacturing metrics, and collaborate with product, equipment, capacity, and manufacturing teams to improve yields, equipment efficiency, and production output. Apply AI-assisted tools responsibly to enhance engineering effectiveness.

Leads and validates third-party instrumentation and control system designs for advanced semiconductor manufacturing facilities. Reviews PLC, SCADA, DCS, instrumentation architectures, loop diagrams, and specifications; evaluates reliability, cybersecurity, integration, and compliance; performs quality reviews and risk assessments; and coordinates with contractors, vendors, and internal teams through system integration, commissioning, and startup.

Lead end-to-end development of complex platform features using Angular and Python or Spring Boot. Set technical direction, design scalable APIs and data models, improve reliability and performance, mature CI/CD pipelines, expand automated testing, translate ambiguous requirements into delivery plans, mentor engineers, and establish engineering best practices. Integrate generative AI capabilities, coding tools, agents, and MCP servers into internal developer platforms and engineering workflows.

As an Equipment/Production Engineer, you will oversee new tool installations, maintain equipment, develop maintenance schedules, and drive continuous improvement in manufacturing processes, focusing on reliability and uptime.

Perform die-level electrical failure analysis for NAND products to identify root causes and drive yield, reliability, and quality improvements. Design and execute bench DOE and probe experiments, construct failure models, correlate circuit/layout signatures to process limitations, develop test scripts/methodologies, support NPI and HVM, and collaborate with cross-functional teams to implement corrective actions and continuous improvement, using AI-assisted tools where appropriate.