Google LLC is an American multinational technology company that specializes in Internet-related services and products, which include online advertising technologies, a search engine, cloud computing, software, and hardware.
Product Design Engineer, University Graduate
Location: Mountain View, CA, USA; Chicago, IL, USA
Experience : 0 – 2 yrs
Design for function, reliability, human factors, manufacturability, and cosmetic requirements.
Manage the subsystem and/or individual consumer electronics part designs from concept to production.
Work with global manufacturing suppliers and partners of subsystems, and drive individual part design from concept to production.
Build and troubleshoot prototypes, analyze results of reliability testing, iteratively improve the design, and bring to production.
Create and publish detailed 3D CAD and 2D drawings for your design models, search out and select materials, components, and sub-systems for the products you launch.
Bachelor’s degree in Mechanical Engineering, Product Design, a related field, or equivalent practical experience.
Relevant internship experience, work experience, educational, or personal project experience with product design, or experience with Computer Aided Design (CAD) tools (such as PTC Creo, ProE, or Unigraphics NX) and mechanical simulation tools.
Ability to travel to meet with suppliers.
Master’s degree in Mechanical Engineering, Product Design, or equivalent practical experience in consumer product development.
Experience with Unigraphics NX/Teamcenter with proficiency in CAD, tolerance analysis, and structural finite element analysis.
Familiarity with mechanical design of plastic and metal components, printed circuit boards (PCB), flexible printed circuits (FPC), and acoustics used in consumer electronic products.
Familiarity with electromechanical assemblies, manufacturing techniques, fabrication techniques, and rapid prototyping.
Excellent communication and collaboration skills, excellent cross-functional problem solving skills, and ability to make large scale, data-driven decisions