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Sr Manufacturing Engineer - Santa Clara, United States - J&J Family of Companies
![Default job background](https://contents.bebee.com/public/img/bg-user-ex-1.jpg)
Description
Sr Manufacturing Engineer WDescription
Robotics & Digital Solutions
, part of the Johnson & Johnson family of companies, is recruiting for a NPI Senior Manufacturing Engineer, located in Santa Clara, CA.
At Johnson & Johnson, we believe health is everything.
Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal.
Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.
Learn more atAre you interested in joining a diverse team delivering outstanding results to our customers? Apply now for this exciting opportunity
The
Senior Manufacturing Engineer, NPI
is an individual with:
High drive and urgency to launch quality products to market
High drive to innovate through continuous improvement throughout the product's life cycle.
Highly collaborative; works with Supply Chain and R&D Teams, Technicians, Quality, and peers to develop a world-class manufacturing process for Medical Robotic Capital Systems
Strong determination, ability, and excitement leading and developing, documenting and qualifying test processes used during the manufacturing of electro-mechanical components and subassemblies
Experience in making process improvements that yield both a profitable and reliable product
Clear communication when providing feedback on Design For Assembly, COGS, Manufacturability, Quality, etc,
A positive take on challenging the status quo to drive process excellence, while understanding the "why" in design intent, patient safety and overall product functionality
Eagerness to engage in hands-on activities, comprehending system interactions, and automating repetitive tasks
Aptitude for quickly formulating action plans and executing them optimally to address challenges
Proven resilience, proactivity, and a positive approach when facing challenging circumstances
Vision to develop and undertake projects that can handle the complexities in scaling up a robotic system in future sophisticated manufacturing methods
The Senior Mfg Eng, NPI will Lead Manufacturing and Process development activities across the organization and functional groups with responsibilities in the areas focus areas:
General Engineering and Leadership
Strong leadership capabilities to mentor, coach and develop various experience level Mfg Eng, NPI teams
Collaborates, coaches, and supports design teams to develop and introduce manufacturing processes that scale to commercialization.
Thoroughly documents procedures and results to ensure traceability and promote knowledge sharing among team members
Technical leader and driver on owned projects; serve as a technical resource to other engineering groups and project leaders
Process Engineering
Develops new and or improved processes through the application of theoretical and practical engineering
Designs and develops technically complex processes to improve quality and efficiency.
Utilizes statistical tools (such as GR&R, SPC and Cp/Cpk) to ensure processes/fixtures are scalable and are continuing to perform properly once qualified
Analyses and evaluates all significant technical trends and developments and incorporates them in appropriate assignments
Responsible for data analysis reports to communicate machine capability to cross-functional teams
Plans, defines, and implements continuous process improvements to existing manufacturing operations including process verification, MFG documentation updates and process validation
Designs, documents, assembles, qualifies, and releases custom, off-the-shelf manufacturing and testing tooling, fixtures, and equipment, including maintenance plans and calibrations.
Component and manufacturing assembly development with a strong focus on DFx methodologies (Design for Manufacturability/Assembly/Cost/Quality/x)
Provides early and ongoing manufacturing involvement to ensure new products are mechanically manufacturable
Capable in understanding and building Tolerance Analysis of parts and assemblies
Releases engineering documentation and Bill of Materials
Provides direction and mentorship to third party machine/automation suppliers and/or CM's
Failure/Data analysis and Troubleshooting
Develops Manufacturing and Test Processes with multi-functional teams
Leads Corrective and Preventative Action plans by providing solutions using independent thinking and problem-solving skills including FMEAS, Fishbone, 5 Whys or Pareto Charts.
Genuine curiosity to comprehend the functioning and troubleshooting of systems, coupled with a proven track record to identify and resolve technical issues efficiently
.
Qualifications
A minimum of a Bachelor's or equivalent University Degree is required with a primary focus in Mechanical, Manufacturing/Industrial, Electrical engineering, or related field is required, Mechatronics Engineering degree preferred.
Experience Requirements:
Minimum of 6 years of relevant work experience in regulated industries such as aerospace, aircraft, or automotive, preferably medical device
Proficiency in reading engineering drawings
Proficiency with GD&T Methodologies
Proficient in SolidWorks and PDM or equivalent
Capable of communicating complex technical problems to a wide audience of experience
Versed and experienced in Good Engineering Practices (GEP) and Good Manufacturing Practices (GMP).
Able to make models, first principle calculations, and simulations to solve technical problems
The anticipated salary range for this role is $105,000- $166,635
This position requires you to be onsite Monday- Friday
Ability to travel (10%) to and from headquarters in Santa Clara, CAStrong understanding and experience executing on:
Manufacturing equipment design and development
Process validation planning/execution, IQ/OQ/PQ protocols, and reports
Regulated industries component and manufacturing qualification processes
Using Statistical Methods for Manufacturing Process Capability and Control (SPC and Cp/Cpk)
Measurement System Analyses (MSA) and Gage R&R and Compatibility
Risk-based manufacturing documentation, including process and component FMEAs
Crafting machine qualification requirements, design of experiments and failure analysis
COGS Analysis
DFx Methodologies
Prior experience in medical device, working in regulated environment in compliance to ISO 13485 and 21 CFR 820.
Understands machine qualification including calibration, correlation, capability, repeatability, and reproducibility
Knowledge of a broad range of component manufacturing methods/processes (Metals/Plastics/Electro-Mechanical)
Experience with risk-based manufacturing documentation, including process, component, and supplier FMEAs.
Preferred:
Experience with robotics or large capital equipment assembly
Strong understanding of robotic systems encompassing hardware, software, and firmware components
Experience in automation equipment used for alignment, assembly and/or measurement of components.
Conducts research and analysis to identify innovative technologies, algorithms, and equipment for testing robotic systems and subsystems
Creates customized test applications to enhance the efficiency, modularity, and repeatability of system validation processes
Agile PLM and Manufacturing Execution System experience
Experience with Composer SolidWorksJohnson & Johnson is an Affirmative Action and Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Primary LocationNA-US-California-Santa Clara
Organization
Auris Health, Inc
Relocation Eligible:
Yes - Within Country
Travel
Yes, 10 % of the Time
Job Function
Manufacturing Engineering
Req ID:
W
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