Lead Computational Capabilities Engineer - Nike (Portland, OR)
Become a Part of the NIKE, Inc. Team
NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game.
WHO YOU’LL WORK WITH
The Design Lab sits within Nike’s Advanced Innovation organization, pioneering the next generation of footwear and apparel manufacturing through computational design, advanced materials, additive manufacturing, and multi-axis CNC technologies. This role reports into the Innovation organization and partners closely with process engineers, materials scientists, computational designers, product designers, technical program managers, machine builders, technicians, external integrators, and cross-functional teams supporting Footwear and Apparel innovation initiatives.
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WHO WE ARE LOOKING FOR
Nike is looking for a Lead Computational Capabilities Engineer who thrives at the intersection of software, manufacturing, and innovation. This person is an engineer first, with deep expertise in building computational tools and workflows that connect design intent to physical execution. They bring a hands-on maker mindset, moving seamlessly between writing production-ready code and operating advanced manufacturing equipment. They are equally comfortable contributing to complex Python and C# codebases, generating machine code for multi-axis systems, and validating results through physical prototyping. Success in this role requires strong computational geometry expertise, a passion for emerging manufacturing technologies, and the ability to collaborate across multidisciplinary teams. They bring a thoughtful perspective on modern AI-enabled development workflows and know when to leverage technology to accelerate innovation while maintaining engineering rigor.
