Computational Design Graduate Intern
Welcome to Nike, a company dedicated to innovation, creativity, and pushing the boundaries of design. We are seeking a highly motivated and passionate Computational Design Graduate Intern to join our team. As a leader in the sportswear industry, Nike is constantly striving to revolutionize the way we design and create products. We are looking for someone who is eager to learn, has a strong understanding of computational design principles, and is excited to work on cutting-edge projects. If you are ready to take your skills to the next level and be part of a dynamic and collaborative team, this is the opportunity for you.
- Collaborate with the design team to brainstorm and develop innovative and cutting-edge designs using computational design principles.
- Participate in research and development projects to explore new technologies and techniques for design optimization and automation.
- Assist in creating prototypes and mock-ups using computational design software and tools.
- Work closely with cross-functional teams to integrate computational design into the product development process.
- Stay updated on the latest trends and advancements in computational design and share relevant insights with the team.
- Take ownership of assigned projects and ensure timely completion while maintaining high-quality standards.
- Communicate and present design concepts and ideas effectively to team members and stakeholders.
- Collaborate with other interns and team members to foster a creative and collaborative work environment.
- Adhere to company standards and procedures while maintaining confidentiality of sensitive information.
- Attend training and development sessions to enhance skills and knowledge in computational design and relevant software/tools.
Proficiency In Computational Design Software: Candidates Should Have A Strong Understanding Of Computational Design Software Such As Rhino, Grasshopper, And Dynamo. They Should Be Able To Apply These Tools To Create Innovative Design Solutions.
Understanding Of Design And Engineering Principles: The Ideal Candidate Should Have A Solid Foundation In Both Design And Engineering Principles. This Will Enable Them To Translate Complex Designs Into Functional Products.
Knowledge Of Material Science: A Strong Understanding Of Material Science And Its Application In Product Design Is Essential. Candidates Should Be Able To Identify And Select Materials That Are Suitable For The Intended Purpose Of The Product.
Problem-Solving Skills: Computational Design Often Involves Dealing With Complex And Challenging Problems. Candidates Should Possess Excellent Problem-Solving Skills And Be Able To Think Critically To Find Solutions.
Communication And Collaboration: Strong Communication Skills And The Ability To Collaborate With Cross-Functional Teams Are Crucial For Success In This Role. Candidates Should Be Able To Effectively Communicate Their Ideas And Work Well With Others To Bring Them To Life.
Product Development
Graphic Design
Data Analysis
User Experience
Prototyping
Design Thinking
Coding
3D modeling
Animation
Virtual Reality
Augmented Reality
useR
Communication
Conflict Resolution
Customer Service
Leadership
Time management
creativity
Attention to detail
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Computational Design Graduate Intern in Beaverton, OR, USA is $50,000-$70,000 per year. However, this can vary depending on the specific company and industry, as well as the individual's skills and experience. Some companies may offer higher salaries or additional benefits for their interns.
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Nike, Inc. is an American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.
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