Drimva

SirenOpt

Metrology Applications Engineer

$120K–$170K

San Leandro, California, United States · Full-time · Posted Oct 1, 2026

Experience
B.S./M.S.: 1–2 years of industry experience in manufacturing, metrology, materials characterization, and/or materials development. Ph.D.: research or industry experience directly related to materials characterization, materials fabrication or coating, or advanced manufacturing.
Education
B.S. or M.S. in materials science, chemical engineering, chemistry, physics, or a closely related technical discipline; or a Ph.D. in a relevant field.

About the job

Demonstrates, deploys, and improves PlasmaSens metrology platforms by designing experiments, interpreting results, and advising customers on advanced manufacturing applications.

What you'll do

  • Scope and execute customer demonstration studies and proof-of-concept experiments, then present findings and recommendations.
  • Support installation, commissioning, troubleshooting, and optimization of PlasmaSens systems at customer sites.
  • Provide customer feedback and develop metrology workflows, calibration procedures, and documentation.

What they ask for

  • B.S. or M.S. in materials science, chemical engineering, chemistry, physics, or a closely related technical discipline; or a Ph.D. in a relevant field.
  • Experience working with hardware and software in an industrial or manufacturing context.
  • Familiarity with data analysis, machine learning, and statistical process concepts, and comfort using tools such as JMP, Matlab, and/or Python.
  • Strong customer-facing communication skills and ability and willingness to travel up to approximately 25%.

Nice to have

  • Experience with coatings or precursor materials; relevant work in batteries, aerospace, power generation, semiconductors, energy, or electronics.
  • Exposure to plasma processing, high-temperature materials, in situ/on-line metrology, or additional stakeholder languages.

Pay

$120,000 — $170,000 USD base salary

Tools

PlasmaSens, JMP, Matlab, Python, SPC, Gauge R&R

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)