Offers “Saint-Gobain”

33 days agoSaint-Gobain

Simulation and Data Engineer

  • Bristol (County of Bristol)
  • Teaching

Job description

Position description

This position is subject to export controls under the International Traffic in Arms Regulations (ITAR).  Qualified applicants for the position must meet the ITAR definition of “U.S. Person” at 22 C.F.R. 120.15 as a:  U.S. citizen, U.S. national, lawful permanent resident, or otherwise a protected individual (including for example refugees and asylees).

 

If you want to reshape the world and discover your greatest potential, Saint-Gobain provides one-of-a-kind opportunities for innovative problem solvers.

We're one of only two companies in the world that is consistently recognized as both a top Global Employer and a Top 100 Global Innovator, but Saint-Gobain's remarkable story and culture of innovation begins with a team of nearly 200,000 creative, diverse and passionate team members collaborating across the globe.  We are committed to our mission to improve lives because, every day, we witness the enormous impact of our efforts on the world around us. 

 

The Saint-Gobain Seals (SG Seals) Simulation Group is seeking an outstanding Engineering Simulation and Data Engineer to join a team with a variety of competencies including advanced material modeling, wear and fatigue simulation, leakage modeling, to develop novel sealing modeling and simulation techniques and hybrid physics-data based engineering emulators to support SG Seals digital transformation strategy. The team focuses on design and optimization of customer-driven high performance sealing solutions and technologies (both polymers and metals) supporting Space exploration, sustainable green energy storage and transportation for Energy and Aviation markets, high pressure, high speed and low friction medical and surgical equipment for Life Science market, and other mission critical applications in other markets. This position can be based out in either Bristol, RI or Garden Grove, CA.

The candidate will be expected to work on projects in the areas of component design, assessment of design with simulation and engineering simulation service, which includes but is not limited to, scope definition, model construction, model analysis and debugging, result processing, and presenting findings in written and oral formats. Another primary responsibility is to develop hybrid engineering simulation emulators that combine data-driven (machine learning models) and physics-based simulation models with high accuracy and low computational cost, and work closely with technical platform team, commercial and Ops teams to define the scope and objectives for new emulators development. Combining your strong engineering simulation and engineering data science background, you will develop and build powerful tools to explore sealing design space, leading to dramatic time savings in design, support technical team to gain insights, understand trends and make better decisions on recommending high performance sealing solutions, while developing innovative new sealing solutions and influence our long-term technical and business strategy. In addition to the candidate’s primary projects, the candidate will be expected to support projects led by others.

 

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Identify, analyze, and provide technical solutions for sealing product development problems through engineering simulation and analysis.

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Ability to design and use numerical simulation to optimize parts and components and new manufacturing processes to expand the markets into which critical solutions are sold.

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Analyze and process raw test results for material model fitting and material parameters.

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Support senior simulation engineer in advancing numerical simulation for critical applications to establish thermal/mechanical conditions, tribology, leakage, fatigue, wear and aging of materials/products in application conditions.

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Analyze engineering requirements and constrains, apply DOE techniques, select proper predictive modeling (include machine learning) and optimization methods to develop SG Seals internal design and service tools.

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Work with multi-functional teams to develop physics informed data-driven digital tools that facing external customers.

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Explore and identify suitable prediction and optimization platform with versatile visualization functions through close collaborations with universities, engineering simulation software companies, and the open source community, and work with IT to deploy it internally.

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Interact across a broad range of levels, expertise, and geographic regions, while communicating and demonstrating their relevance and importance to different stakeholders within SG Seals.

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Demonstrates open and collaborative approach in all areas of responsibility.

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Seeks out others to enhance and streamline development and decision making.

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Requires minimal assistance and guidance on administrative andtechnical aspects of role.

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Manages multiple projects simultaneously, on time, well documented to meet business and customer objectives.

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Establish and shift priorities as needed to meet commitments and project deliverables.

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Respect and promote a safe work environment and abide by Saint-Gobain safety, health and environment policies and identify opportunities for improving safety in the work place.

 

REQUIRED QUALIFICATIONS

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MS in Material Science/Engineering, Mechanical Engineering, Aerospace/Aeronautics Engineering Computation Engineering Science or other related disciplines with a focus on Data Analytics or Machine Learning with 3+ years of experience or PhD plus demonstrated technical judgment/accomplishments. PhD is preferred.

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2+ years of hands on experience with simulation, materials, manufacturing processes in an industrial or research setting (related experience during PhD can be counted) focused on design/process assessment using numerical simulation, material properties and applications and component design

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3 + years of hands on experience applying data analytics, mathematical & statistical algorithms, machine learning techniques on engineering projects in an industrial or research setting (related experience during PhD can be counted) using design space exploration with DOE techniques, applying predictive and optimization models together with machine learning to solve engineering problems.

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Expertise in numerical simulation, particularly with FEM, and statistical design as it relates to part design, mechanical behavior and composites systems is required.

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Solid understanding of solid mechanics, CFD, thermodynamics or one of the above fields is required.

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Experience with, but not limited to, Abaqus, Ansys, COMSOL is required.

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Knowledge in physics and mechanics of materials (metals and polymers) is required.

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Knowledge of process automation and design exploration, familiar with different types of DOE techniques is required.

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Knowledge on data processing and visualization in one script language (either Python, R, JavaScript, or others) is required.

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Be well acquainted in dealing with mathematical & statistical algorithms (e.g. regression, Bayesian models, predictive models, optimization methods etc.) and machine learning techniques (e.g. clustering, classification and neural networks etc.)

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Working knowledge in SolidWorks or AutoCad to design parts is required.

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Knowledge of engineered polymers (blends, process, mechanics etc.) is preferred.

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Experience with Simulia iSight or Altair HyperStudy is preferred.

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Knowledge or experience on one BI tool (e.g., PowerBI, QlikSense, Tableau or others) is preferred.

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Knowledge or experiences on one web backend and frontend (e.g., node, angular, vue, react, Django, flask) is preferred.

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Have a Github/Gitlab repo to prove one’s skill sets is preferred.
 

Additional Requirements

 

 

Who are we ?

Saint-Gobain’s innovations touch almost every major industry around the world, moving us forward, making meaningful connections, and inspiring us to go beyond the impossible. Within Mobility, our teams design and engineer critical, high-performance materials and proven solutions – most in challenging conditions and core systems that play an important part of our daily lives – as we drive to work or with family, fly on an airplane to explore the world, process samples for medical research, build a better rocket to go as far as we can in outer space; and dive deep under the sea to power our world. We are driven to collaborate with our customers and communities to improve and engineer the world of tomorrow!

Our team members recognize that we all create the environment for people to succeed, with a culture built on respect, open and honest communication, and honoring our commitments to our customers and each other. And at the heart of our culture, we’ve learned working together makes good ideas, great ones.

 

With a legacy dating back more than 350 years, Saint-Gobain offers employees the stability and security of a leading Global 500 corporation while operating like multiple small and agile start-ups, where entrepreneurial spirit, pioneering teamwork, and bold, forward-thinking ideas pave new paths.

 

Every team member is encouraged to develop and leverage their unique expertise and strengths to make the greatest impact on the company and our end users. At Saint-Gobain, you’re empowered and equipped with countless opportunities and resources for professional development. You will find the support you need to create a vision and roadmap for your career, and make that vision a reality.

 

Invent yourself at Saint-Gobain Mobility, and together, we’ll achieve the impossible!    

Legal Statement

Saint-Gobain provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Saint-Gobain is an equal opportunity employer of individuals with disabilities and supports the hiring of veterans.

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