AI Architect - Chip Design / Semiconductor Background

Mirafra; Bengaluru; On-site; INR 500,000 - 800,000; Full time

Job summary

Mirafra in Bengaluru seeks a senior AI/ML architect with 10+ years of experience to lead AI strategy for semiconductor design, data pipelines, and deployment.

You will integrate LLMs with industry tools like Innovus, Calibre, and automation scripts, design agent workflows, and drive MLOps and governance across on-prem and cloud setups.

Qualifications

• 10+ years of relevant experience in AI/EDA or semiconductor domains.
• Bachelor’s or Master’s degree in Engineering (Electrical/Electronics/CS) or equivalent.

Responsibilities

• Define the AI architecture strategy spanning data pipelines, model selection and deployment for semiconductor design use cases.
• Architect and prototype AIML solutions that augment backend design STA, DFT and physical verification flows e.g. PPA optimization, automated DFT insertion, log/report analysis, predictive timing closure.
• Integrate LLMs and ML models into existing EDA toolchains (Innovus, Tempus, PrimeTime, Calibre) and Linux/TCL/Python scripting environments.
• Architect agentic AI workflows that plan, execute and iterate across multistep design tasks, debug, triage ECO loop automation, constraint generation and regression analysis with human-in-the-loop checkpoints.
• Design multiagent systems that orchestrate specialized agents across RTL-to-GDSII flow, integrating tool calls to EDA engines, scripts and internal knowledge bases.
• Build robust agent infrastructure, tool-function-calling interfaces, context and memory management, state handling and guardrails for reliability in engineering-critical applications.
• Evaluate and benchmark foundation models, fine-tuning approaches, RAG pipelines and agent orchestration patterns.
• Establish an agent control plane, policy approval gates, observability and audit trails before autonomous agents touch production systems.
• Partner with delivery teams and clients to translate AI capabilities into productized service offerings.
• Establish MLOps practices, model governance and scalable infrastructure on-prem/cloud/hybrid.
• Mentor engineers on AIML adoption and build the technical foundation for an AI Center of Excellence.

Skills

AI architecture

AIML solution design

LLMs integration

Agentic AI workflows

Multiagent systems

MLOps practices

Education

BTECH/MTECH in Electrical/Electronics/CS or equivalent

Tools

EDA toolchains (Innovus, Tempus, PrimeTime, Calibre)

Linux TCL/Python scripting

Job description

• Define the AI architecture strategy spanning data pipelines model selection and deployment for semiconductor design use cases
• Architect and prototype AIML solutions that augment backend design STA DFT and physical verification flows eg PPA optimization automated DFT insertion logreport analysis predictive timing closure
• Integrate LLMs and ML models into existing EDA toolchains Innovus Tempus PrimeTime Calibre etc and LinuxTCLPython scripting environments
• Architect agentic AI workflows agents that plan execute and iterate across multistep design tasks debug triage ECO loop automation constraint generation regression analysis with appropriate humanintheloop checkpoints
• Design multiagent systems that orchestrate specialized agents across the RTLtoGDSII flow integrating tool calls to EDA engines scripts and internal knowledge bases
• Build robust agent infrastructure toolfunctioncalling interfaces context and memory management state handling and guardrails for reliability in engineeringcritical applications
• Evaluate and benchmark foundation models finetuning approaches RAG pipelines and agent orchestration patterns
• Establish an agent control plane policy approval gates observability and audit trails before autonomous agents touch production systems
• Partner with delivery teams and clients to translate AI capabilities into productized service offerings
• Establish MLOps practices model governance and scalable infrastructure onpremcloudhybrid
• Mentor engineers on AIML adoption and build the technical foundation for an AI Center of Excellence

Experience (years) : 10+ years

Education Qualification:

BTECH/MTECH in Electrical/Electronics/Computer Science Engineering or Equivalent