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Gauss Labs

Industrial AI for semiconductor manufacturing optimization

Senior Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-timePalo Alto, CA, USANo salary listed

About the Job

Requirements

  • A BS or MS in Engineering, Science, or a related field is required.
  • At least 3 years of experience leading AI or data science projects in the semiconductor industry or another manufacturing field is required.
  • Strong problem-solving skills and a customer-focused mindset are required.
  • Proficiency with Python and SQL is required.
  • Ability to work independently and collaboratively is required.
  • Willingness to travel domestically to customer sites as needed, up to 20% of working hours, is required.

Responsibilities

  • Design and implement customized AI solutions for manufacturing.
  • Analyze manufacturing data to uncover opportunities and develop AI models.
  • Collaborate with customers to understand their requirements and deliver clear, data-driven solutions.
  • Work closely with internal teams to ensure solutions are feasible, scalable, and aligned with product strategy.
  • Present findings to technical and non-technical stakeholders.

Desired Qualifications

  • A master's degree in Computer Science, Data Science, or a related field is preferred.
  • Experience in predictive modeling and cloud platforms such as AWS, Azure, or Google Cloud is preferred.
  • Excellent communication skills and the ability to simplify complex technical concepts are preferred.

About the Company

Gauss Labs

Industrial AI for semiconductor manufacturing optimization

Gauss Labs builds AI-powered software for manufacturing, with a focus on the semiconductor sector. Its products monitor and optimize factory processes by collecting machine-generated data from production lines and running AI models on scalable software infrastructure to detect anomalies, improve quality, and reduce downtime. The company differentiates itself through deep domain expertise in industrial AI, a leadership team with a background in enterprise ML and product development, and a cross‑border presence in Silicon Valley and Seoul to serve large manufacturing customers with enterprise-grade solutions. The goal is to make semiconductor factories more efficient and reliable by turning data into actionable insights and automated process improvements.

Company size
51-200
Company stage
Late Stage VC
Total funding
$55M
Headquarters
Palo Alto, CA
Founded
2020

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