Applied Researcher - Frontier AI & RL Systems (Remote)

Prime Intellect AI; San Francisco (CA); Hybrid; USD 150,000 - 300,000; Full time

Benefits offered by this job

Visa sponsorship

Relocation support

Professional development budget

Team off-sites

Conference attendance

Job summary

Prime Intellect AI is building the open frontier AI platform and research stack. We seek researchers who can design interactive environments using EDA tools, develop long-horizon agents, and create post-training systems for real semiconductor workflows.

You will collaborate with customers and partners to push the boundaries of AI-augmented design and verification. Responsibilities include building evaluation environments, crafting robust rewards, and ensuring reproducible research artifacts.

Qualifications

• Depth in RL, agents, or post-training systems and semiconductor workflows fluency.
• Hands-on experience building model-training loops and evaluation pipelines.
• Strong Python and the ability to build artifacts that other researchers and engineers can run, inspect, and extend.
• Experience in design automation, ML for systems is useful but not required.

Responsibilities

• Create interactive environments where agents use EDA tools to modify designs, debug failures, and plan multi-step work.
• Design rewards and evaluations balancing functional correctness with 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 and constraint sets.
• Develop verifiers and rewards grounded in tests, simulation, formal methods, design rules, and engineering outcomes.

Skills

RL research

Agent systems

Post-training systems

Python

Job description

Prime Intellect AI is building the open frontier AI platform and research stack. We seek researchers who can design interactive environments using EDA tools, develop long-horizon agents, and create post-training systems for real semiconductor workflows.

You will collaborate with customers and partners to push the boundaries of AI-augmented design and verification. Responsibilities include building evaluation environments, crafting robust rewards, and ensuring reproducible research artifacts.