Research Scientist, AI for EDA & Chip Design

ScOp Venture Capital LLC.

Santa Barbara, Northern (CA, KY)

Hybrid

USD 140,000 - 180,000

Full time

3 hours ago
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Benefits offered by this job

Equity options
Competitive compensation
Professional growth opportunities

Job summary

ChipAgents is seeking a Research Scientist to advance AI-enabled electronic design automation. You will train large language models, build agentic systems, and accelerate RTL design and verification with practical AI workflows.

Join a team shaping chip design with cutting-edge AI, access to substantial compute, and opportunities to deploy research in production for leading hardware partners.

Qualifications

  • Degree in Computer Science, ML, Electrical Engineering, or related field.
  • Strong background in LLMs, deep learning, and modern ML frameworks.
  • Experience with AI agent architectures and multi-agent workflows.
  • Familiarity with RTL design, EDA tools, or hardware-software co-design is a plus.
  • Strong Python programming and scale training infrastructure experience.

Responsibilities

  • Conduct AI/ML research for AI-assisted EDA workflows.
  • Train and deploy large language models at scale for production use.
  • Design and benchmark agent systems with state-of-the-art LLMs.
  • Translate research into production-ready features for hardware teams.
  • Collaborate across teams to identify impactful research directions.
  • Publish findings and contribute to AI/EDA research communities.

Skills

Large language models
Deep learning
Python
PyTorch
JAX
Multi-agent systems
EDA concepts

Education

MS in Computer Science or Electrical Engineering
PhD in ML/EE preferred

Tools

PyTorch
JAX
TensorFlow
Distributed training infra

Job description

ChipAgents is seeking a Research Scientist to advance AI-enabled electronic design automation. You will train large language models, build agentic systems, and accelerate RTL design and verification with practical AI workflows.

Join a team shaping chip design with cutting-edge AI, access to substantial compute, and opportunities to deploy research in production for leading hardware partners.

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