Head of Data Acquisition

Normal Computing Incredible Opportunities

The Normal Team builds foundational software and hardware that help move technology forward - supporting the semiconductor industry critical AI infrastructure and the broader systems that power our world. We work as one team across New York San Francisco Copenhagen Seoul and London.

Your Role in Our Mission:

Normals AI systems depend on access to high-quality semiconductor data. That data is difficult to find fragmented across the ecosystem and often locked behind relationships workflows and domain complexity though some exists in open-source form with inconsistent quality and requires heavy vetting.

As Head of Data Acquisition you will build and own the function responsible for identifying acquiring and operationalizing the datasets that power our AI systems. This is a zero-to-one role at the intersection of semiconductor workflows and AI.

You will spend most of your time mapping where meaningful data is generated across design and verification workflows building relationships with the organizations that control it and turning that access into high-quality data that directly improves model performance.

The strongest candidates will have direct experience working with semiconductor or EDA workflows and understand how this data is created structured and used in practice.

Responsibilities:

• Own Normals semiconductor data acquisition strategy translating ML and product needs into clear sourcing priorities

• Identify and unlock high-value datasets across the semiconductor ecosystem particularly in front-end and back-end design and verification workflows including both proprietary and open-source sources

• Evaluate and curate open-source semiconductor datasets building processes to vet quality and extract signal from noisy or incomplete data

• Build and manage external partnerships including licensing data-sharing agreements and long-term strategic relationships

• Work closely with ML and engineering teams to define data requirements and ensure acquired data is usable for training and evaluation

• Evaluate build vs buy vs partner decisions across different data types and sources

• Establish lightweight systems for data ingestion validation and iteration in collaboration with engineering

• Manage external vendors contractors or annotation efforts where needed to structure or enrich data

What Makes You A Great Fit:

• Direct experience working in or closely with the semiconductor or EDA ecosystem (design verification fab or adjacent tooling)

• Strong understanding of how technical datasets are generated structured and used in production systems

• Track record of sourcing acquiring or working with complex datasets in a technical environment

• Experience building and managing external partnerships including navigating ambiguous or non-standard data access

• Ability to operate across technical and external-facing contexts working with engineers and engaging domain experts and partners

• Comfortable operating in a zero-to-one environment with high ambiguity and full ownership

Bonus Points For:

• Experience supporting ML systems or working with data used for model training and evaluation

• Background in product program management or technical operations roles

• Experience managing data annotation or enrichment workflows

• Familiarity with data licensing procurement or data-centric business models

Equal Employment Opportunity Statement

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

Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability please let us know at

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Required Experience:

Director