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 prospects 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