Normal Computing

Founding Data Engineer

New York City

Sponsorship not specified$10k-$100kDetected 4 hours ago

Full-Stack DevelopmentMachine LearningData EngineeringAccessibilityVerilogHardware DesignResearch

About the role

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.

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.
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.
The strategy for what data we build, mine, and acquire is yours.

Familiarity with SystemVerilog, Verilog, and UVM
Experience with automated data collection, web scraping, or corpus curation at scale

Normal Computing is an Equal Opportunity Employer.
We celebrate diversity and are committed to creating an inclusive environment for all employees.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.
Accessibility Accommodations

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