AI Research Resident

What you will do

Develop recursive self-improvement strategies. Design and test strategies where AI systems improve the tools, workflows, and hardware used to build the next generation of AI systems, closing the loop between design tools, silicon, and the models that run on it.
Apply AI to accelerate hardware design. Work on agentic and ML-driven approaches to chip design and verification, looking for places where automation and learned models compress design cycles that used to take months into weeks.
Use hardware advances to accelerate AI itself. Take what's learned from thermodynamic and unconventional hardware and feed it back into how we train, evaluate, and iterate on our own AI tools and research.
Build the evaluation infrastructure this loop needs. Help build benchmarks and evaluation frameworks that can tell, rigorously, whether a given self-improvement actually compounds. This is empirical work, not a leap of faith.

$150K

a year

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Develop recursive self-improvement strategies. Design and test strategies where AI systems improve the tools, workflows, and hardware used to build the next generation of AI systems, closing the loop between design tools, silicon, and the models that run on it.
Apply AI to accelerate hardware design. Work on agentic and ML-driven approaches to chip design and verification, looking for places where automation and learned models compress design cycles that used to take months into weeks.
Use hardware advances to accelerate AI itself. Take what's learned from thermodynamic and unconventional hardware and feed it back into how we train, evaluate, and iterate on our own AI tools and research.
Build the evaluation infrastructure this loop needs. Help build benchmarks and evaluation frameworks that can tell, rigorously, whether a given self-improvement actually compounds. This is empirical work, not a leap of faith.