Foundational Data Engineer

Normal Computing builds silicon that turns thermal noise from an obstacle into a computational resource. Conventional chips spend most of their energy forcing determinism onto physics; ours compute with it. Stochastic, in-memory, asynchronous: the result is 10-100× more AI inference per dollar, per watt.

We co-design the full stack: AI-native EDA systems in production with the world's largest semiconductor companies, and the advanced ASICs they make possible. Backed by $85M+ from the world's leading deep-tech investors and built by scientists, engineers, and operators from the labs that built modern computing.

Normal works as one team across New York, Silicon Valley, London, Copenhagen, and Seoul. We hire people who want the hardest version of their craft, across every discipline, at every seniority.

Our EDA tool accelerates the design and verification of silicon. It integrates with the engineer's workflow to assist with design, verification, and debugging, and uses AI to generate stimulus, tests, SystemVerilog assertions, and other verification artifacts.

The hard part of that is data, and most of the data we need is not in a format that is easy to train on. The verification artifacts that would teach our agents are locked inside customer environments, paywalled behind standards bodies, or simply never written down. So this role is not primarily about finding data. It's about manufacturing it: generating synthetic training data with programmatic ground truth, mining our own agents' runs for high-quality trajectories, and negotiating access to the real customer data that nothing else can replace. You will own that pipeline end to end and partner directly with the ML/post-training and eval teams, because the only definition of success here is moving a number on our eval harness.

You'll work alongside verification engineers who set the standard for "good," ML engineers who help tune the generation loop, and pipeline engineers who keep the data organized and versioned. The strategy for what data we build, mine, and acquire is yours.