Top Engineering Jobs

Participate in a five-month project optimizing NAND component test flows through manufacturing data analytics, automation, statistical analysis, machine learning, and enterprise AI. Retrieve, prepare, analyze, and visualize manufacturing data; develop scripts, models, reports, and automation tools; identify product recovery and test-flow improvement opportunities; validate AI-generated outputs; and present documented findings and recommendations. Collaborate with engineers while strengthening technical documentation, communication, and problem-solving skills.

Develop, procure, install, calibrate, and operate test equipment and control devices. Coordinate test conditions and execution, analyze test data, identify system improvements, and prepare technical reports. Collaborate with engineering teams to improve critical metrics and implement AI-enabled process optimization solutions.

Develops and optimizes overlay metrology processes for DRAM photolithography. Responsibilities include evaluating metrology technologies, partnering with equipment vendors, calibrating systems, optimizing measurements and target layouts, supporting process characterization and control, and qualifying technology transfers to production fabs. Requires semiconductor overlay experience, knowledge of lithography and manufacturing processes, data analysis skills, and proficiency with JMP and Python.

Designs and validates analog, digital, and mixed-signal electronic hardware for semiconductor test systems. Responsibilities include component selection, schematic development, PCB layout collaboration, circuit simulation, laboratory testing, debugging, technical documentation, prototype deployment, customer validation, and sustaining engineering. The role also develops scripts and automation to improve design workflows, data analysis, and test efficiency while collaborating with global cross-functional teams.

Supports 24/7 semiconductor process development for Wet Etch, CMP, and Bond areas on a 12-hour rotating shift. Makes off-shift engineering decisions, dispositions wafers, releases or holds tools, troubleshoots process and equipment issues, investigates excursions using SPC and data analysis, improves yield and defects, maintains procedures and reaction plans, and coordinates with development, integration, equipment, manufacturing, and operations teams.

Lead end-to-end ASIC IP, subsystem, and SoC development from micro-architecture through RTL integration, verification support, synthesis, timing, power analysis, and physical hardware collaboration. Define interfaces and architecture, support post-silicon debug and bring-up, collaborate with cross-functional global teams, improve workflows using AI-assisted engineering tools, and mentor engineers. The role focuses on memory and storage products, with preferred experience in LPDDR, CPU subsystems, test controllers, and storage or memory ASIC controllers.

Develop software and data-driven solutions for semiconductor probe operations. Responsibilities include building real-time Tableau reporting and monitoring, automating material tracking and product validation, improving issue-resolution turnaround times, identifying process improvements through analytics, and collaborating with global Probe teams. The role also involves responsibly integrating AI-assisted tools and supporting continuous improvement across Engineering and Production operations.

Verify and optimize digital and analog DRAM circuit designs through planning, simulation, coverage closure, debug, silicon validation, and tape-out support. Collaborate with engineering, manufacturing, and product teams to deliver reliable, manufacturable memory products meeting performance, cost, compliance, and customer requirements.

Supports semiconductor fab equipment installation, upgrades, maintenance, troubleshooting, and reliability improvement for RDA and metrology tools. Leads root-cause investigations, preventive maintenance scheduling, equipment performance analysis, project prioritization, capacity planning, vendor coordination, and continuous improvement initiatives. Uses analytics, automation, visualization, and AI to improve uptime, predictive maintenance, reporting, throughput, and equipment health.

Leads storage-domain test development for SSD firmware, applying extensive embedded firmware and Python expertise. Oversees test teams, mentors engineers and technicians, validates storage interfaces and NAND technologies, and manages multiple priorities independently. Uses approved generative AI tools and agentic workflows for code generation, testing, debugging, root-cause analysis, automation, and optimization while following AI governance, security, intellectual property, licensing, and human-review requirements.