Robotics Welding Engineer - AI-Powered Autonomous Welding

Drive Capital

Columbus (OH)

On-site

USD 70,000 - 90,000

Full time

14 days+

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Benefits offered by this job

Daily free lunch
Flexible PTO
Comprehensive medical, dental, and vision coverage
6 weeks fully paid parental leave
401(k) retirement plan
Generous employee referral bonuses

Job summary

Drive Capital is looking for a Welding Engineer in Columbus, Ohio, to develop an autonomous robotic welding system and collaborate with engineering teams. The role includes conducting welding parameter experiments, performing robotic and manual welding, and engaging with customers. Enjoy a dynamic work environment with perks like free lunches, flexible PTO, and comprehensive medical coverage. Qualified candidates should have 3+ years of relevant experience and proficiency in multiple robotics platforms.

Qualifications

  • 3+ years of experience developing robotic welding procedures in an industrial environment.
  • Proficient in industrial robotics including Yaskawa, ABB, Kuka, or Fanuc platforms.
  • Background in fusion-based weld parameter development for carbon steel, stainless steel, and aluminum.

Responsibilities

  • Run weld parameter selection experiments to identify a range of welding parameters.
  • Partner with robotics engineers to develop rules for automated trajectory generation.
  • Perform robotic welding experiments to test other systems in development.

Skills

Robotic welding procedures development
Industrial robotics proficiency
Manual welding processes
Weld symbology understanding
Design of Experiment principles

Tools

Yaskawa
ABB
Kuka
Fanuc

Job description

Drive Capital is looking for a Welding Engineer in Columbus, Ohio, to develop an autonomous robotic welding system and collaborate with engineering teams. The role includes conducting welding parameter experiments, performing robotic and manual welding, and engaging with customers. Enjoy a dynamic work environment with perks like free lunches, flexible PTO, and comprehensive medical coverage. Qualified candidates should have 3+ years of relevant experience and proficiency in multiple robotics platforms.
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