Head of Data Acquisition

Accountabilities:

• Own and define the end-to-end data acquisition strategy, translating machine learning and product requirements into clear sourcing priorities for semiconductor datasets.

• Identify, evaluate, and unlock high-value data sources across semiconductor design and verification workflows, including both proprietary and open-source ecosystems.

• Build and manage strategic external partnerships, including data licensing agreements, vendor relationships, and long-term collaboration frameworks.

• Evaluate and curate datasets, establishing processes to assess quality, filter noise, and ensure usability for model training and evaluation.

• Collaborate closely with ML and engineering teams to define data requirements and ensure seamless integration into downstream systems.

• Design lightweight operational systems for data ingestion, validation, enrichment, and iteration in partnership with technical teams.

• Oversee external vendors, contractors, or annotation efforts to structure and improve data quality where needed.

Requirements:

This role requires deep familiarity with semiconductor or EDA ecosystems and a strong understanding of how technical datasets are generated and applied in real-world engineering or ML contexts. Candidates should have a proven track record of sourcing, acquiring, or working with complex datasets in technical environments. Experience building external partnerships and navigating ambiguous or non-standard data access scenarios is essential. Strong cross-functional communication skills are required, with the ability to operate effectively between engineering teams and external industry stakeholders. The ideal candidate thrives in zero-to-one environments, demonstrating high autonomy, ownership, and comfort with ambiguity. Exposure to machine learning systems, data-centric product development, or data operations is highly advantageous.

Benefits:

• Competitive compensation package aligned with senior leadership responsibilities

• Opportunity to build a foundational function from the ground up in a cutting-edge AI environment

• High-impact role with direct influence on model performance and product capabilities

• Close collaboration with world-class ML, engineering, and domain experts

• Dynamic, fast-moving environment with strong ownership and autonomy

• Opportunity to work across global teams in a highly technical and innovative organization.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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