Applied Research - Chip Design (Fully Remote)

Prime Intellect, Inc.; United States; À distance; USD 140 000 - 190 000; Plein temps

Résumé du poste

Prime Intellect is seeking a researcher specializing in reinforcement learning for chip design. You will develop agentic RL methods, design long-horizon experiments, and translate workflows into reusable tasks, environments, and reward signals.

You will collaborate with users and research partners to advance semiconductor workflows, building Python artifacts that others can run, inspect, and extend, while contributing to the open superintelligence stack.

Qualifications

• Depth in RL, agents, or post-training methods.
• Fluent in semiconductor workflows and domain knowledge.

Responsabilités

• 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.

Connaissances

RL expertise

Python programming

Semiconductor workflows

Description du poste

• 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.