Commonwealth Fusion Systems

Commonwealth Fusion Systems

Fiber Optic Specialist

Somerville, MA · Contract

Sponsorship not specifiedDetected 49 days ago
ExcelResearchCommunicationFiber Optics

About the role

  • We're in the best position to make it happen.
  • Since 2018, we've raised nearly $3 billion in capital, making us the largest and leading private fusion company in the world.
  • If that's you and this role fits, we want to hear from you.

Responsibilities

  • Experienced with designing, building, and testing fiber cable assemblies, particularly in cryogen and vacuum conditions

Requirements

  • 4+ years experience in fiber optics field applications
  • Experience with taking attenuation, insertion loss, and spectral analysis measurements using various measurement equipment (such as OTDR, OSA, OBR, power meter, etc.)
  • Must have experience fiber handling in a lab setting with known standards

Nice to have

  • 7+ years experience in fiber optics field applications
  • Experience in utilizing distributed sensing arrays
  • Experience with polyimide and a variety of coated fibers
  • At least 1 year experience in teaching and/or training fiber splicing techniques and cable assemblies
  • Experience performing fiber optic work in environments with limited space or requiring odd positions.

Skills

  • Fiber coating removal
  • Fiber re-coating
  • Specialty fiber splicing
  • Fiber proof-testing
  • Knowledgeable about various optics sensing techniques and optical attenuation/insertion loss mechanisms
  • Basic Materials Science knowledge
  • Good communication skills
  • Good attention to detail

Benefits

  • Bonus points for:

Company info

  • What we're looking for:

Visa & Work Authorization

  • We consider all qualified applicants equally, regardless of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orien

This listing is sourced directly from Commonwealth Fusion Systems's careers page and normalized into a canonical job model.