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Salary
$210k – $230k per year
Location
In office (San Francisco)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 9, 2026.

Overview
Company
Impact
Profile match
Lumafield is an industrial CT scanning and AI inspection company that gives manufacturers complete internal visibility into their products without destroying them.

About the role:

Lumafield has the world’s largest dataset of real manufactured products. Encoded into this dataset are deep representations of design and manufacturing rules. Automating manufacturing is a key pillar in Lumafield’s ultimate vision to transform all of design and manufacturing.

As an Applied Research Scientist, Manufacturing, you will lead technical development of our manufacturing automation capabilities. This is a uniquely applied role: you will wear steel toed boots while writing code in manufacturing facilities.

What you'll do:

  • Lead technical development of methods to automate manufacturing processes like die casting, injection molding, CNC machining, and more.
  • Design experiments, implement them, and iterate until you have a manufacturing process autonomous.
  • Integrate robots, manufacturing equipment, and CT scanners in our SF manufacturing lab
  • Interface with customers to define pilot programs.
  • Travel to customer manufacturing sites all around the world.

About you:

  • Are excellent at prototyping and 0-1 problems.
  • Have applied machine learning and optimization experience.
  • Have strong instincts for experiment design and are deeply empirical.
  • Are AI native and can apply the tools with high leverage.
  • Are well-versed in scientific computing and simulation packages.
  • Are extremely independent and can give unstructured problems structure and direction.
  • 5-10 years of experience in a relevant technical field.

Bonus:

  • Advanced degree in machine learning, optimization, or a relevant discipline.
  • Background or experience in design, manufacturing, or physical hardware.
  • Familiarity with BREP/analytical geometry or CAD kernels.
  • PLC programming experience.
  • A portfolio of work that you can share that is relevant to this role.
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