At Boeing, we are all innovators on a mission to connect, protect, explore and inspire. From the seabed to outer space, you’ll learn and grow, contributing to work that shapes the world. Find your future with us.
Boeing is currently seeking an ExperiencedMetal Additive Manufacturing Analytics Specialist to join the growing team in Boeing Additive Manufacturing Intelligence Center.
Additive manufacturing brings enormous opportunities to Boeing, including innovative designs, advanced tooling, individualized services, and many more. The rapid advancement of additive manufacturing industrialization at Boeing calls for a systematic and practical understanding of the printing process and its correlations to properties and part design. Such understanding requires the physics-based and data-driven simulation, monitoring, and analytics of all the critical steps in the design to additive manufacturing process chain. The end goal is to leverage these intelligent approaches to enhancing the quality and efficiency of designing and manufacturing additive parts.
Working within the Boeing Additive Manufacturing Intelligence Center, you will be on the forefront to develop and deploy advanced computing technologies to address the immediate use cases and the strategic business needs. You will partner with Boeing internal teams, universities, and public institutes to rapidly mature emerging technologies trends and products. You will work directly with additive manufacturing customers at Boeing to apply the technologies to address their needs in quality control, process development, digital shop floor, etc. You will assist in customer consultations; deliver major system components for a deployment effort. You will also contribute to R&D proposals, as well as influence colleagues and direct customers to use appropriate computational tools and processes.
This role will be based in El Segundo, CA.
Formulate an agile research and development plan for advanced data-driven predictive and prescriptive technologies that capture and correlate the design, material, printing, and post process characteristics according to defined requirements
Such technologies may include adaptive sampling approaches such as Latin hypercube sampling, machine learning, data analytics, image/signal processing, statistical process control, neural network, numerical modeling of process and material such as principal component analysis, Monte Carlo simulation and time series modeling, ICME, process-structure-property correlations, and others.
Rapidly develop, iterate and improve the algorithms using agile methodology and high-level programming languages such as Python, R and Matlab.
Apply the technologies in various industrial use cases, such as:
Process monitoring and quality control: detect anomalies on a build layer through the analysis of optimal/thermal images and other sensored data, execute preventive measures to improve build quality
Material development: accelerate design curve development through advanced sampling and analysis of process variation space; establish correlations between process parameters and mechanical properties in scope
Digital shop floor: assist the implementation of shop floor digital solutions; define data management strategy; enable feedback loop to design environment
Drive the validation of physics-based tools with experimental data; work with the team to simulate Additive Manufacturing builds, optimize build orientation, optimize supports, and simulates the Additive Manufacturing build to mitigate thermal distortion.
Develop and maintain professional relationships with external partners, such as universities, industries, and public agencies, to fulfill business needs
Assist the deployment of the mature technologies; perform necessary data preparation and enhancements to technologies.
Compile best fit methods, best practices, and lessons learned; author relevant specifications and user manuals
Mentor peers in the relevant areas of expertise; provide trainings when needed.
Provides technical solutions to complex problems that require ingenuity and creativity
Employer will not sponsor applicants for employment visa status
Basic Qualifications (Required Skills/Experience):
3+ years of experience with Additive Manufacturing technologies
3+ years of experience programming with MATLAB or similar languages (R, Minitab, C, Java, Tableau, etc.)
1+ years of experience developing data science algorithms to aid and assist in optimization and predictive analysis
1+ years of classroom or work related experience with the Software Development lifecycle (including Requirements Analysis, Design, Code, Integration & Test)
Preferred Qualifications (Desired Skills/Experience):
Ph.D. in the relevant fields of study
Working experience with one or more advanced computing technologies as applied in Additive Manufacturing. Such technologies include adaptive sampling approaches such as Latin hypercube sampling, machine learning, data analytics, image/signal processing, statistical process control, neural network, numerical modeling of process and material such as principal component analysis, Monte Carlo simulation and time series modeling, ICME, process-structure-property correlations, and others.
Demonstrated application-driven research experience in additive manufacturing
Experience with Titanium and Aluminum additive processes
Experience with Materials Science related to Additive Manufacturing
Experience with heat transfer issues related to Additive Manufacturing
Experience with EOS software tools
Working knowledge of agile tool development, such as MVP, V-model
Hands-on experience with Python, R, Matlab, and/or other data analytics platform and toolboxes
Hands-on experience with creating DOEs with data analytic for process development
Hands-on experience with implementing data acquisition on a shop floor environment
Experience with Dassault Systèmes® 3DEXPERIENCE® Platform
Education/experience typically acquired through advanced technical education (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD+4 years' related work experience, Master+7 years' related work experience, 13 years' related work experience, etc.).
Relocation assistance is available for applicable candidates.
Drug Free Workplace:
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
All information provided will be checked and may be verified.
Please apply as soon as possible for this role as recruitment may commence before the end date.