Sr. Design Automation Engineer

About the role

You will join a central engineering team developing a next-generation, AI-enabled design and verification platform for complex analog/mixed-signal and RF products and modules - from die-level blocks to integrated module architectures. This role calls for an engineer who has built UVM verification environments and has an automation mindset to encode that expertise into scalable flows.

What you'll do

• Design and deploy ML inference models for engineering use cases: prediction, classification, anomaly detection, and recommendation over design/simulation data
• Build data engineering pipelines to ingest, clean, label, and version datasets from design and layout databases, as well as simulation and physical verification results
• Develop LLM-based applications with chain-of-thought prompting for guided troubleshooting, documentation Q&A, and methodology assistance
• Implement MLOps practices: model versioning, A/B testing, monitoring for drift, and reproducible training pipelines
• Create APIs and services that integrate ML capabilities into existing EDA and engineering platforms

What you need

• Python
• Machine learning
• LLMs
• PyTorch
• TensorFlow
• UVM

Good to have

• Verilog
• CI/CD
• Bash
• Git
• MLOps
• Deep learning