Top Engineering Jobs

Develop an AI-enabled application, analytical model, or automated workflow addressing a semiconductor process or equipment engineering challenge. Analyze manufacturing and engineering data using statistics, machine learning, Generative AI, large language models, visualization, or automation. Test, validate, document, and present the solution, demonstrating potential improvements in yield, quality, cost, productivity, or cycle time.

Lead end-to-end development of AI platform features using Angular and Python or Spring Boot. Own architecture, APIs, data models, integrations, performance, reliability, CI/CD, testing strategy, and production delivery. Mentor engineers, drive technical direction, clarify ambiguous requirements, and promote engineering best practices. Build generative AI capabilities using LLMs, prompt engineering, RAG, AI coding tools, agents, and MCP servers.

Leads technical integration between HBM customers and internal design, product engineering, process engineering, and manufacturing teams. Translates customer system requirements into internal actions, mentors teams on HBM architecture, signal integrity, thermal solutions, and packaging, and drives design reviews, root-cause analysis, failure resolution, and yield improvement. The role also leads development and deployment of AI-powered engineering capabilities for validation, debugging, characterization, and customer enablement.

Validate NAND-based SSD firmware and systems by creating test strategies, plans, cases, and automated frameworks. Test NVMe, PCIe, OCP Cloud SSD, performance, reliability, interoperability, endurance, and customer requirements. Debug issues with cross-functional engineering teams, analyze failures, track defects, support customer qualification, and drive root-cause resolution. Apply Python, AI-assisted tools, and data-driven techniques to improve validation coverage, efficiency, and product quality.

Verify analog, digital, and mixed-signal IP using simulation and verification tools. Build SPICE testbenches and co-simulation environments at block and full-chip levels, write Verilog and Verilog-A/MS models, develop SystemVerilog/UVM verification environments and assertions, and debug complex circuits. Experience with DRAM memory is required. The role also involves scripting, collaboration, proactive adoption of approved AI tools, and maintaining technical ownership of verification decisions.

Leads validation strategy and automated testing for NAND-based SSD firmware across functional, performance, reliability, interoperability, and customer qualification domains. Develops test plans, frameworks, and continuous validation solutions; debugs NVMe and PCIe issues; analyzes quality risks; and drives cross-functional issue resolution. Partners with hyperscale customers, leads complex programs, mentors engineers, and applies AI, machine learning, and generative AI to improve test coverage, failure analysis, reporting, and validation productivity.

Lead semiconductor manufacturing equipment projects focused on improving productivity, reducing failures, increasing throughput, enhancing quality, and lowering costs. Responsibilities include installing, modifying, relocating, and decommissioning tools; analyzing data to identify issues; proposing solutions; collaborating across departments; and implementing innovative improvement initiatives.

Leads a semiconductor engineering team responsible for optimizing HVM wet, CMP, and diffusion processes. Drives yield enhancement, wafer quality, process capability control, defect detection, output improvement, cost reduction, and continuous improvement. Collaborates with manufacturing, equipment, facilities, process integration, yield, quality, procurement, suppliers, and global teams to achieve fab KPIs. Develops engineers, resolves process challenges, and applies AI-assisted tools to improve efficiency and effectiveness.

Support advanced DRAM cell and access-device development through silicon experiments, electrical and materials characterization, statistical analysis, and device- and array-level behavior analysis. Collaborate with modeling, design, process integration, and manufacturing teams to optimize performance, density, retention, reliability, and manufacturability. Apply Python, MATLAB, JMP, TCAD, and AI-assisted tools to analyze data and guide next-generation memory technology research.

Characterize and optimize advanced 3D NAND memory cells and arrays through device-physics analysis, electrical test-data analysis, AI-assisted workflows, and failure-mechanism investigation. The engineer will contribute to NAND architecture and process development while collaborating with device, integration, design, product, reliability, and manufacturing teams to improve performance, reliability, scaling, and technology qualification.