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Role Impact:
- Chip design fits agentic RL: long-horizon work, specialized tools, and objective feedback.
- Build agents, environments, and post-training systems for real semiconductor workflows.
Responsibilities:
- Turn workflows into tasks, environments, and reward signals, run post-training experiments against baselines.
- Work directly with users and research partners while maintaining a research agenda.
Requirements:
- Depth in RL, agents, or post-training; ability to become fluent in semiconductor workflows.
- Strong Python and ability to build artifacts others can run, inspect, and extend.
Prime Intellect
Prime Intellect builds the open superintelligence stack, unifying compute, environments, evaluations, and deployment for frontier-scale AI post-training. The company has raised $150M in funding from top investors like Founders Fund and NVIDIA, fostering a culture of building at the intersection of research, infrastructure, and go-to-market.