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:
- Protected 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 too