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