Computational Designers: Industrial Design Group
Apple - Cupertino, United States of America
Posted Apr 22, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Not verified last checked Jun 13, 2026
- Salary
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- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Computational Designers: Industrial Design Group Cupertino, United States of America Apple's Industrial Design Group is seeking Computational Designers who thrive in an environment of exploration, iteration, and close collaboration. You will work with Industrial Designers, Human Factors researchers, and Digital Sculptors to translate complex, multidimensional data into sophisticated frameworks. Your work will inform data-driven design solutions that help shape how Apple's products look and function. The role involves bridging aesthetics, engineering, and human-centered insights through algorithmic modeling and data-driven design strategies. You will integrate large datasets - such as biomechanics research or advanced manufacturing constraints - into functional, elegant design solutions. We value the ability to explore, iterate, and communicate clearly with cross functional teams. We encourage candidates of all experience levels to apply. Minimum Qualifications: Demonstrated understanding of computational and parametric design principles. Proficiency in Grasshopper and Rhino; experience with Python, C#, or other scripting languages is a plus. Excellent problem-solving skills with the perseverance to tackle open-ended, ambiguous challenges. Exceptional communication skills with proficiency in English, enabling clear articulation of complex technical concepts to both technical and non-technical audiences. Preferred Qualifications: Proven ability to incorporate diverse data sets (e.g., human factors research, biomechanical metrics, and engineering constraints) into computational models. Skilled at creating adaptable design systems and flexible frameworks that can evolve alongside project insights. Capacity to explore materials, manufacturing processes, and production techniques through algorithmic methods. Strong data and file management capabilities, ensuring high-quality digital deliverables that can translate into refined surfaces and production-ready geometry. Bachelor's degree
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