成为 NIKE, Inc. 团队的一员
NIKE, Inc. 不仅为全球精英运动员们提供装备，也为您提供一个探索潜能、消除界限和突破极限的工作场所。我们致力于寻找渴望成长、独立思考、心怀梦想并勇于创造的英才，同时倡导拥抱多元化、鼓励想象力的企业文化。我们渴望与实干家、领导者及远见者同行。在 NIKE, Inc.，每个人都能施展才华，满怀热情，积极应对充满挑战且不断变化的世界。
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.
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.
- 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 related field. Will accept any suitable combination of education, experience and training.
- Strong proficiency in Python and C#; experience with C++ preferred.
- Experience generating machine code (G-code or equivalent) for multi-axis manufacturing systems and working 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.
WHAT YOU’LL WORK ON
You will build and scale the digital infrastructure powering Nike Innovation’s multi-axis manufacturing platforms. Working across software and hardware, you will create tools, workflows, and capabilities that translate computational design into physical outcomes, accelerating innovation across both Footwear and Apparel while helping transform emerging manufacturing concepts into operational realities.
- Build and refine end-to-end digital pipelines that connect 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 to continuously improve digital capabilities.
- Prototype rapidly within Rhino and Grasshopper, then translate successful concepts into scalable, maintainable Python and C# applications and reusable engineering frameworks.
- Collaborate closely with process engineers, materials scientists, machine builders, technicians, designers, and external partners to accelerate platform development and manufacturing innovation.
- Develop validation systems, workflow automation, warnings, and digital safeguards that capture expert manufacturing knowledge and improve reliability across processes.
- Create operator-facing and designer-facing tools that reflect real-world production requirements, ensuring usability, scalability, and manufacturing readiness.
- Contribute to machine-agnostic design specifications, platform-level innovation initiatives, and the deployment of advanced manufacturing technologies across Nike’s Footwear and Apparel portfolios.
We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.
预期内容
我们的招聘策略
01 申请
我们的团队拥有多元化的技能组合、知识库、意见、想法和背景。 希望你能找到适合自己的职位，因此请查看职位描述、部门和团队，找到适合你的职位。
02 与招聘人员会面或进行评估
如果被选中担任公司职位，招聘人员将会联系你开启面试流程，并在整个过程中担任你的主要联系人。 如果是零售职位，你需要完成互动式评估，包括聊天和测验，用时约 10 到 20 分钟。 无论担任什么职位，我们都希望充分了解你。因此，请尽情展现你如何提供世界一流的服务以及你的独特之处。
03 面试
从容开启这一阶段，做好充分调查，了解候选人标准并根据个人情况和背景准备可能会被问到的问题。
