Applied RL & Chip Design Engineer (Remote)

Prime Intellect, Inc.

San Francisco (CA)

Teletrabalho

USD 150 000 - 300 000

Tempo integral

Há 2 dias
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Vantagens oferecidas por esta oferta de emprego

Visa sponsorship & relocation support
Professional development budget
Team off-sites & conference attendance
Flexible work location (SF/NY/London/远

Resumo da oferta

Prime Intellect is building the open frontier AI stack with a focus on real Semiconductor design and verification workflows. The Applied Research role involves creating agents, environments, evaluations, and post-training systems using RL techniques and toolchains, while working closely with customers and research partners to advance frontier capabilities.

You will design rewards, run long-horizon experiments, and ensure that research results translate into reusable research and product

Qualificações

  • Depth in RL, agents, or post-training systems and ability to become fluent in semiconductor workflows.
  • Hands-on experience building and debugging model-training, post-training, agent, evaluation loops.

Responsabilidades

  • Build agents, environments, evaluations, and post-training systems for real semiconductor design and verification workflows.
  • Collaborate with customers, users, or research partners while pursuing a substantive research agenda.
  • Design rewards and evaluations that balance correctness with tool efficiency and constraints.
  • Develop interactive environments where agents use EDA tools to modify designs and debug failures.

Conhecimentos

Reinforcement learning
Python
Experimentation

Descrição da oferta de emprego

Prime Intellect is building the open frontier AI stack with a focus on real Semiconductor design and verification workflows. The Applied Research role involves creating agents, environments, evaluations, and post-training systems using RL techniques and toolchains, while working closely with customers and research partners to advance frontier capabilities.

You will design rewards, run long-horizon experiments, and ensure that research results translate into reusable research and product

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