Manufacturing Systems Engineer

4-6 Years

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Early Applicant

Job Description

Job Summary/Responsibilities

Design, develop, test and implement specialized measurement/automation tools for 3D printer testing.
Manage and follow up closely on tool development and delivery with our assigned tool vendor according to program requirement.
Ensure deliverables according to quality and shipment requirements
Collaborate with engineering, operations, and QA teams.
Manage/train and collaborate with MPA tooling team counterparts.
Integration of measurement sensors, actuators, and industrial communication protocols according to HP recommendations.
Perform troubleshooting, root cause analysis, and ongoing support for such tools on site.
Evaluate and recommend tools and technologies to improve tool design.
Create and maintain technical documentations, BOM, and system diagrams where applicable.
Explore AI/automation/robotics and create/implement projects in MPA with sound ROI
Explore/qualify alternate automation vendors for cheaper costs.
Develop proper documentations after tool buy off. Support NPI builds and occasional travel for design reviews and vendors sites for tool discussion and validation.
Provide technical DFX recommendations from tooling/Manufacturing POV during NPI , integrates tooling knowledge with product and product improvement phases

Education & Experience Recommended

Bachelor's degree in Mechanical Engineering, Mechatronic Engineering or any related field
4–6 years of experience in manufacturing environment with production tools and automation
Experience in measurement tools/automation tools development
Excellent problem-solving skills and attention to detail
Strong sense of urgency according to program schedule
Strong communication and teamwork skills
Strong CAD drawing skills
Strong mechanical skills
Strong electrical and electronic skills

Knowledge & Skills

Cross-Org Skills

Impact & Scope

Impacts multiple teams and may act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process.

Complexity