We are looking for a highly capable AI Engineer / AI Platform Architect who will define and drive our AI strategy, infrastructure, and agent-based workflows for semiconductor design. This role sits at the intersection of AI, EDA, and engineering productivity, and will be instrumental in transforming how chips are built.
What You’ll Do
AI Strategy & Vision
Define and execute the AI roadmap for semiconductor design workflows across:
Architecture
RTL design
Verification
Physical design
Analog design
Identify high-impact opportunities where AI can significantly improve:
Productivity
Quality
Time-to-silicon
Serve as the central thought leader for AI adoption across the company
AI Infrastructure & Platform
Architect and deploy AI infrastructure, including:
Cloud-based (e.g., AWS) and/or on-prem (air-gapped) environments
GPU/compute resource planning and scaling
Define strategy for:
Model hosting vs API usage
Offline/private model deployment for IP-sensitive environments
Build systems for:
Data management, protection, and governance
IP security and compliance
Auditability and traceability of AI-generated outputs
AI Agents & Workflow Automation
Work closely with engineering teams to:
Identify workflows suitable for AI agent automation
Define multi-step agent pipelines spanning different tools and domains
Design and implement AI agents that can:
Interact with EDA tools
Execute multi-stage workflows (e.g., generate → simulate → analyze → refine)
Integrate across RTL, DV, and physical design flows
Build reusable agent frameworks and orchestration layers
AI Guardrails & Governance
Define and enforce AI guardrails, including:
Secure usage policies
Data privacy and IP protection
Model access controls
Manage:
Token usage and cost optimization
Access policies for different teams
Ensure AI usage aligns with enterprise-grade security standards
LLM & Tooling Expertise
Evaluate and recommend LLMs and AI tools for different use cases:
Code generation
Debugging
Documentation
Dat