Top Tech Jobs & Startup Jobs

Develop systems software, profiling tools, benchmarks, and experimentation frameworks for LLM training, inference, and agentic AI workloads. Optimize performance across GPUs, CPUs, memory, storage, and distributed systems, including caching, scheduling, data placement, and state management. Analyze experimental results and collaborate with research and engineering teams on AI infrastructure innovations, technical publications, intellectual property, and future platform designs.

Develop, debug, and maintain semiconductor memory product test programs from new product introduction through high-volume manufacturing. Write C++ and Python test software, analyze device and test-flow data, optimize test coverage, yield, quality, and test time, and collaborate with design, manufacturing, yield, quality, systems, and equipment engineering teams. The role also contributes to design-for-test capabilities and AI-supported workflow automation.

Develop, debug, and maintain C++ and Python test programs for Micron DRAM products from new product introduction through high-volume manufacturing. Analyze device and test-flow data, optimize test coverage, yield, quality, and test time, and contribute to design-for-test capabilities. Collaborate with design, product engineering, manufacturing, yield, quality, systems integration, and equipment engineering teams to deliver production test solutions.

Analyzes and optimizes semiconductor manufacturing operations through automation systems, scheduling, dispatch, line and area management, scenario studies, reporting, and statistical analysis. The role develops, tests, deploys, documents, and supports manufacturing solutions; provides expertise on cycle time, yield, throughput, queue time, equipment releases, and workstation optimization; and collaborates on training and continuous improvement initiatives.

Lead cross-functional Front End semiconductor manufacturing initiatives focused on cost reduction, productivity, factory output, and operational efficiency. Define program scope, timelines, resources, dependencies, and metrics; manage risks and roadblocks; improve business processes and reporting; and communicate results to senior leaders. Apply data analytics, AI, automation, and digital solutions to deliver measurable manufacturing and business improvements.

Semiconductor yield analysis internship focused on reviewing experimental data, identifying device performance shifts and process anomalies, improving measurement accuracy, and using inline data and machine learning to predict cell performance. The intern will collaborate with process integration, process engineering, and data science teams while developing root-cause analysis, process improvement, and technical communication skills.

Develop, optimize, and sustain liquid-phase (wet) process equipment for advanced DRAM. Partner with vendors and internal teams to close hardware gaps, drive installation/qualification/upgrades, apply data analysis to monitor tool performance, troubleshoot issues, and support process transfer from R&D to manufacturing.

Lead hiring, training, and startup of Dry Etch process and equipment engineering teams for a new DRAM high-volume fab. Drive process qualification, capacity planning, cross-functional alignment, technical support, and succession planning while setting performance goals and partnering with global manufacturing and suppliers.

Lead end-to-end PCB layout for complex, high-speed boards: pre-layout planning, stackup and rule development, component placement, signal and power integrity, manufacturability, cross-functional coordination, release and fabrication support, and continuous improvement of PCB design practices.

Lead development, layout, and optimization of high-speed datapath IO circuits for next‑gen NAND flash, driving AI-first workflows. Own architecture decisions, verify major IO blocks, redesign engineering workflows to embed AI, mentor teams, and collaborate across functions to meet aggressive data-rate and power targets.