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Consumables NPI Engineer 2 at 10x Genomics

Pleasanton, California, United States -

Full Time

Start Date

Immediate

Expiry Date

12 May, 26

Salary

0.0

Posted On

11 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Mechanical Design, CAD, SolidWorks, Injection Molding, Thermoforming, Data Analysis, Gage R&R, Process Capability, Geometric Tolerancing, Inspection Procedures, Metrology Equipment, Statistics, Design Of Experiments, Arena PLM, Oracle ERP, Programming, Simulation

Industry

Biotechnology Research

Description

B.S. in Mechanical, Plastics, or Manufacturing Engineering with 3+ years of experience (preferably within biotechnology or life science engineering or manufacturing), or a M.S. with 0+ years of experience. Fundamental understanding of 3D mechanical design, experience using CAD with SolidWorks experience a plus Experience with injection molding, co-molding, or thermoforming, etc., including designing parts for plastic molding, iterating on mold parameters, and troubleshooting issues from molding. Familiarity with data compilation and analysis tools [e.g. Excel, JMP]; ability to assist in interpreting Gage R&R studies and process capability [Cpk] trends. Fundamental understanding of geometric tolerancing per ASME Y14.5, dimensional stack-ups, inspection procedures and metrology equipment. Ability to travel internationally as needed. Strong written and oral communication skills. Direct experience with injection molding of precision plastics. Strong foundation in statistics and design of experiments. Experience with Arena PLM and Oracle ERP systems; creating, managing, and reviewing engineering change orders, engineering drawings, purchase specifications, and receiving inspection reports. Programming and simulation skills (e.g., Matlab, Python, COMSOL, OpenCV, C++).

Responsibilities

The Consumables NPI Engineer 2 will be responsible for designing parts for plastic molding and troubleshooting issues related to molding processes. The role requires collaboration in data analysis and interpretation of engineering studies.