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Lumafield

Industrial CT scanning with AI inspection

Applied Research Scientist - Manufacturing

Applied Machine LearningPosted on Nov 9
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Have 5-10 years of experience in a relevant technical field.
  • Have applied machine learning and optimization experience.
  • Have strong instincts for experiment design and be deeply empirical.
  • Be well-versed in scientific computing and simulation packages.
  • Be highly independent and able to structure and direct unstructured problems.

Responsibilities

  • Lead technical development of methods to automate manufacturing processes such as die casting, injection molding, and CNC machining.
  • Design and implement experiments, then iterate until a manufacturing process is autonomous.
  • Integrate robots, manufacturing equipment, and CT scanners in the San Francisco manufacturing lab.
  • Interface with customers to define pilot programs.
  • Travel to customer manufacturing sites around the world.

Desired Qualifications

  • Have a background or experience in design, manufacturing, or physical hardware.
  • Have familiarity with BREP/analytical geometry or CAD kernels.
  • Have PLC programming experience.
  • Have a portfolio of work relevant to this role that can be shared.

About the Company

Lumafield

Industrial CT scanning with AI inspection

Lumafield provides industrial CT scanning and AI-powered inspection for manufacturing. Its core tools include the Neptune industrial CT scanner and Voyager analysis software, which enable on-line, rapid, high-volume CT scans of products to reveal internal defects. The Atlas AI engine analyzes scan data to give actionable engineering insights, helping teams solve manufacturing challenges and speed up design, build, and shipping. Unlike competitors that offer standalone scanners or software, Lumafield combines hardware (on-line CT) with integrated software and a scalable AI knowledge base, allowing automated defect detection and practical guidance in one workflow. The company aims to help manufacturers improve product quality, cut costs, and shorten time-to-market by providing secure, scalable scanning and analysis services through a mix of equipment sales, software subscriptions, and AI-enabled insights.

Company size
51-200
Company stage
Debt Financing
Total funding
$202.5M
Headquarters
Cambridge, MA
Founded
2019

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