Lead research projects applying machine learning to power, performance, and area problems in chip design, build datasets, train models, and integrate results into the ChipAgents platform.
$150K/yr – $350K/yr base salary + equity
- Lead research projects that apply machine learning to power, performance, and area problems in chip design, from problem definition to production.
- Build datasets and benchmarks from EDA tool flows across a range of designs and technologies.
- Design, train, and evaluate ML models on hardware design data.
- Form clear hypotheses, set strong baselines, and distinguish meaningful improvements from benchmark noise.
- Work with engineering and product teams to bring research results into the ChipAgents platform.
- MS or PhD in Computer Science, Electrical or Computer Engineering, or a related field, or equivalent research experience in industry.
- Nice to have: Publications at EDA venues such as DAC, ICCAD, MLCAD, or ISPD
- Nice to have: Publications at ML venues such as NeurIPS, ICML, or ICLR
- Nice to have: Prior work applying ML to EDA or chip design
- Nice to have: Experience with ML on graphs or other structured data
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