Designer

• Build agents, environments, evaluations, and post-training systems for semiconductor design and verification workflows
• Turn workflows into tasks, environments, evaluations, and reward signals
• Run post-training experiments against real baselines
• Determine whether gains come from the model, data, harness, inference, or infrastructure
• Build interactive verification environments where agents read specifications, write or repair RTL, invoke simulation or formal tools, interpret failures, and iterate toward verified results
• Design rewards and evaluations combining functional correctness, tool efficiency, robustness, and performance/power/area constraints
• Train long-horizon agents to recover from design and tool failures, preserve useful state, and generalize across blocks, designs, and constraint sets
• Develop interactive environments where agents use EDA tools to modify designs, debug failures, and plan multi-step work
• Develop verifiers and rewards grounded in tests, simulation, formal methods, design rules, and engineering outcomes
• Experiment on credit assignment when feedback arrives late and several tools contribute
• Create evaluations for correctness, recovery, and generalization
• Work directly with customers, users, or research partners while maintaining a substantive research agenda

Explore Applied Research, Chip Design at Prime Intellect. Review requirements and application details.

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