AI Architect, Agentic AI for Chip Design & EDA

Job Title

AI Architect, Agentic AI for Chip Design & EDA

Role Summary

Lead the design and delivery of Agentic AI, generative AI, and machine learning solutions across the end-to-end semiconductor design lifecycle. Partner with design engineering, EDA, manufacturing, and data science teams to automate workflows, improve power/performance/area (PPA), reduce cycle time, and increase silicon yield.

Experience Level

Senior - posting specifies 12+ years of semiconductor industry experience.

Responsibilities

Provide technical leadership and deliver scalable AI and software platforms that enable autonomous and optimized chip design.

• Define strategy, architecture, and implementation of AI-driven semiconductor design and EDA solutions.
• Develop Agentic AI and multi-agent platforms for automation across RTL, synthesis, physical design, verification, and signoff.
• Build domain-specific LLMs, RAG systems, AI copilots, and code-generation tools for semiconductor workflows.
• Apply ML, reinforcement learning, graph neural networks, and predictive analytics to design exploration, PPA improvement, and yield prediction.
• Architect enterprise-scale AI platforms, data pipelines, APIs, and analytics infrastructure for EDA workloads.
• Integrate AI capabilities into commercial EDA products and collaborate with foundry and manufacturing teams on DTCO and yield learning.
• Lead and mentor cross-functional engineering teams; represent the organization at conferences and customer engagements.

Requirements

Must-have technical skills and proven experience; preferred skills listed separately.

• Deep expertise in digital IC design: RTL development, synthesis, physical implementation, timing closure, verification, and signoff.
• Strong AI/ML knowledge including Generative AI, LLMs, reinforcement learning, GNNs, and predictive modeling.
• Advanced programming in Python and at least one of C/C++ or Java; experience building production-grade software and AI platforms.
• Proven experience leading large-scale engineering initiatives and delivering enterprise software or automation systems.
• Experience with enterprise data engineering, distributed systems, cloud infrastructure, and big-data tooling.

Nice-to-have:

• Experience with EDA toolchains (Cadence, Synopsys, Siemens EDA) and developing domain-specific LLMs, RAG, or Agentic AI for engineering workflows.
• Knowledge of 3D-IC, advanced packaging, silicon photonics, advanced process technologies, or foundry operations.
• Track record of patents, publications, or industry-recognized technical contributions.

Education Requirements

Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a related technical field (explicit requirement in the posting).

About the Company

Company: Altera

Headquarters: Bengaluru, Karnataka, India

Altera provides leadership programmable solutions for applications ranging from cloud to edge, unveiling limitless AI possibilities. Their extensive product portfolio includes FPGAs, CPLDs, Intellectual Property, development tools, and System on Modules aimed at accelerating innovation in various fields.