Test Technician I
Divergent · Torrance, California, United States · 2026-07-01
About this role
Divergent is a technology company that has architected, invented, built, and commercialized an end-to-end factory system called the Divergent Adaptive Production System (DAPS) that comprehensively uses machine learning to optimally engineer, additively manufacture, and flexibly assemble complex integrated vehicle structures and subsystems. Products created using DAPS are superior in performance, lower in cost, rapidly customizable to meet mission and customer-specific requirements, faster to market, and scalable on demand to high volume production. Divergent is a qualified Tier 1 supplier to global automotive OEMs, and Divergent is now expanding to support mission critical needs in the Aerospace and Defense sector. Join us to be a part of this transformative journey, where your impact will shape the future of technology and production.
Purpose
Support R&D and QC material testing.
The Role
• Operate Divergent’s standard tensile and fatigue test systems used for material quality control and characterization
• Perform system checks and periodic maintenance as required
• Follow the Divergent Manufacturing Execution System and ensure proper documentation of all work performed
• Accurately record data in excel and other related software applications
• Assist in specialty R&D testing as needed
• Follow specific instructions outlined in Divergent’s standard test procedures
Basic Qualifications
• Ability to lawfully access information and technology that is subject to US export controls
• High school degree, GED or higher degree
• Able to work on-site
• Able to climb up and down the staircase
• Able to lift and carry 30+ lbs
Preferred Qualifications
• Experience with basic hand tools
• Careful worker with attention to detail
• Knowledge of basic metal testing fundamentals a plus
• Experience with tensile testing a plus
• Competence in excel and other Microsoft tools
Work Environment
• Factory environment.
• Work near moving mechanical parts (10% of time)
Skills asked for
- machine learning
- r
- excel
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