Lead Computational Capabilities Engineer

NIKE, Inc. is seeking a Lead Computational Capabilities Engineer to join the Design Lab within its Advanced Innovation organization. The Design Lab pioneers next-generation footwear and apparel manufacturing through computational design, advanced materials, additive manufacturing, and multi-axis CNC technologies.

Who you'll work with

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.

Who we are looking for

Nike is looking for an engineer who thrives at the intersection of software, manufacturing, and innovation. The successful candidate will build computational tools and workflows that connect design intent to physical execution, contribute to complex Python and C# codebases, generate machine code for multi-axis systems, and validate results through physical prototyping.

• 4–5+ years of experience building custom software and computational workflows for design, engineering, and advanced manufacturing applications.
• Bachelor's degree in Software Engineering, Computational Design, Computational Geometry, Architecture, Industrial Design, Computer Science, or a related field. Any suitable combination of education, experience, and training will be accepted.
• Strong proficiency in Python and C#; experience with C++ preferred.
• Experience generating machine code, such as G-code or equivalent, for multi-axis manufacturing systems.
• Experience with robotics and motion-planning platforms such as RAPID and RobotStudio preferred.
• Strong expertise in Rhino/Grasshopper, computational geometry, version control, testing, and documentation best practices.
• A thoughtful perspective on modern AI-enabled development workflows and when to use technology to accelerate innovation while maintaining engineering rigor.

What you'll work on

• Build and refine end-to-end digital pipelines connecting design intent, computational workflows, and machine execution across multi-axis additive and CNC manufacturing platforms.
• Author, test, and optimize machine-code and toolpath generation systems using hands-on machine operation and physical prototyping.
• Prototype rapidly within Rhino and Grasshopper, then translate successful concepts into scalable Python and C# applications and reusable engineering frameworks.
• Collaborate with process engineers, materials scientists, machine builders, technicians, designers, and external partners.
• Develop validation systems, workflow automation, warnings, and digital safeguards that improve process reliability.
• Create operator-facing and designer-facing tools that reflect production requirements and ensure usability, scalability, and manufacturing readiness.
• Contribute to machine-agnostic design specifications, platform-level innovation initiatives, and deployment of advanced manufacturing technologies across Nike's Footwear and Apparel portfolios.

Benefits and inclusion

Nike offers a total rewards package, a casual work environment, a diverse and inclusive culture, and opportunities for professional development. Accommodations are available throughout the interview process, including screen readers, sign language interpreters, accessible interview locations, closed captioning, and other reasonable modifications. NIKE, Inc. is an equal opportunity employer.