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FEINT Engineer

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Onsite

FEINT Engineer

Private Advertiser

FEINT Engineer

Skills

PythonMachine LearningAILinux

8 days ago

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Important information


Contract type:

Permanent

Salary:

MYR 120,000 – MYR 180,000 / year

Location:

George Town, Penang, Malaysia

Work mode:

Onsite

Published on:

14 October 2026

What they need


📢 WE’RE HIRING - FEINT Engineer (Mandarin Speaker Advantage)

Office Location: Bayan Lepas, Penang

Working Hours: 5 Days Per Week, 9am - 6pm (Monday - Friday)

Basis Salary: RM10,000 ~ RM15,000 (based on experiences)

About the role
We are seeking a highly motivated AI Silicon Design Engineer to accelerate front-end (FEINT) implementation flow with AI. This role combines a working knowledge of RTL-to-netlist implementation with AI/ML technologies, and focuses on building and applying AI agents, skills and workflows that improve the productivity and turnaround of synthesis, constraint, CDC/LINT, low-power and timing analysis tasks. The ideal candidate has a solid foundation in front-end implementation or EDA flow automation, along with hands-on experience developing AI solutions for engineering workflows.

  • 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

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

What we're looking for

  • 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

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