ChipStack

Research Scientist

• Design, engineer, and research agentic systems—software that plans, executes, uses tools, and learns
• Bridge LLM agent research with the engineering that puts these systems in production for chip design workflows
• Architect and iterate on agentic components: memory, context engineering, tool usage, multi-agent coordination
• Experiment with prompting, finetuning, and orchestration to improve agent performance
• Build scalable infrastructure for prompt iteration/testing, benchmarking, logging, and evaluation
• Assist with pipelines for fine-tuning, automated evaluation, and model deployment
• Work directly with chip designers and ML infra engineers to embed agentic workflows into chip design pipelines
• Partner with product teams to solve core agent challenges
• Define and evaluate performance metrics for agent systems
• Design goal-oriented agentic workflows to enhance task completion

Research Scientist – Agents

Machine Learning Engineer

• Build the core infrastructure that enables training, fine-tuning, evaluation, and deployment of LLMs across cloud and on-premise environments
• Work alongside highly experienced chip designers, ML scientists, and other top-notch engineers
• Contribute to solving some of the hardest problems in chip design

Research Scientist – Agents

Staff ML Engineer – Infrastructure