AI/ML for EDA Research Engineer

Project

Work done for a product or program.

• Build ML models for placement, routing, timing and power prediction.
• Apply reinforcement learning to design-space exploration and parameter tuning.
• Integrate ML models in production tools with predictable runtime.
• Develop LLM-based assistants for RTL, constraints and scripts.
• Evaluate generative models for test and verification generation.
• Measure and publish QoR and productivity gains.

Function

Work that keeps the discipline running: methods, tools, suppliers and people.

• Train models on proprietary and public design data with privacy controls.

Project

1. Produce and hand over the role's key deliverables
   • ML models integrated in tools
   • Benchmark and QoR studies
   • LLM-assistant prototypes
   • Technical publications
2. Support programsGeneral
   • Agree what each program needs
   • Deliver in time for milestones
3. Manage issuesGeneral
   • Track requests to closure
   • Escalate risks

Function

1. Run the functionGeneral
   • Maintain policies and processes
   • Keep records and controls
2. ImproveGeneral
   • Report performance
   • Lead improvement work