UST Hiring! Full Time Front-End Implementation Engineer (FEINT) in Pulau Pinang - Ricebowl

Front-End Implementation Engineer - AI Silicon Design

KEY RESPONSIBILITIES:

· Develop AI agents and skills that automate front-end implementation tasks: run launch and monitoring, QoR and area/timing regression reporting, constraint and waiver review, and timing debug

· Apply LLMs and agentic AI to automate tasks such as synthesis timing violation root-cause analysis, CDC/LINT waiver triage, UPF comparison, netlist quality review, and regression failure analysis

· Build AI-powered engineering workflows using Python, MCP, agent frameworks, vector databases and modern GenAI platforms

· Support front-end flow execution: launch power-aware synthesis runs, generate and check constraints, run CDC/RDC/LINT and netlist quality checks, and prepare the results for engineering review

· Package and document AI skills and agents so that other engineers can reuse them, and publish them to the team's shared repository

· Work with front-end engineers to identify repetitive tasks worth automating, and validate that automated results match manual review

· Report progress, results, and the measured time savings of the workflows delivered

THE PERSON:

· 3+ years of experience in front-end implementation (synthesis, static timing analysis, CDC/RDC/LINT, or low power) or in EDA flow and tool development

· 1+ year of practical experience applying AI/ML or Generative AI technologies

· Working knowledge of Verilog/SystemVerilog and the RTL-to-netlist flow

· Experience with front-end EDA tools and flows (Fusion Compiler, PrimeTime, Formality/Conformal LEC, VSI/VCLP, SpyGlass/0-In for CDC/RDC/LINT)

· Experience with Generative AI / LLMs, prompt engineering, and AI agent workflows

· Strong Python and Tcl programming skills, with experience in Git, Linux, and scripting automation

· Familiarity with RAG architectures, MCP tools, and agent frameworks such as Claude Code skills/agents, LangChain, LangGraph, AutoGen, or CrewAI

· Familiarity with cloud AI platforms and AI-assisted software development tools

· Experience with physical design flows is a plus

PREFERRED EXPERIENCE:

· Strong cross organizational communication skills

· Highly collaborative

· Ability to work well as a multi-site team

· Ability to multitask

· Problem solving and analytical ability

· Experience with large digital ASIC/SoC projects

· Experience building AI tools for EDA flow automation, debug acceleration, report generation, or design-quality checking

· Understanding of ML fundamentals, fine-tuning, embeddings, and vector databases

· Good English skills on talking, presentation and writing documents

· Experience working in a challenging engineering environment

ACADEMIC CREDENTIALS:

· BS or above degree in Electrical Engineering, Microelectronics, Integrated Circuit Science, Computer Engineering, Computer Science, or a related field

· Major in Micro-Electronics, Computer Science, or a related discipline