Lead Computational Capabilities Engineer

Posted 2 Hours Ago
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Beaverton, OR, USA
In-Office
Mid level
Other • Retail
At NIKE, Inc., technology is laying the foundation for our digital transformation and direct-to-consumer strategy.
The Role
Builds computational software, digital pipelines, and machine-code generation systems connecting design workflows to multi-axis additive and CNC manufacturing. The role develops Python and C# applications, prototypes in Rhino and Grasshopper, operates advanced manufacturing equipment, validates physical outcomes, and creates safeguards and operator tools. It collaborates with engineers, scientists, designers, technicians, and external partners to scale Nike’s advanced manufacturing capabilities.
Summary Generated by Built In
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.

Skills Required

  • 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, or a suitable combination of education, experience, and training
  • Strong proficiency in Python and C#
  • Strong expertise in Rhino and Grasshopper
  • Strong expertise in computational geometry, version control, testing, and documentation best practices
  • Experience generating machine code such as G-code for multi-axis manufacturing systems
  • Experience working with robotics and motion-planning platforms such as RAPID and RobotStudio
  • Experience with C++

Nike Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nike and has not been reviewed or approved by Nike.

  • Retirement Support A 401(k) with a company match is complemented by options such as a Mega Backdoor Roth and deferred compensation for eligible earners. Financial coaching and structured savings programs support long-term financial security.
  • Equity Value & Accessibility An Employee Stock Purchase Plan with a stock discount sits alongside broad-based equity vehicles like RSUs and non-qualified stock options. These avenues expand wealth-building opportunities beyond base pay.
  • Parental & Family Support Paid parental leave includes maternity and paternity time, recently expanded in the U.S. to 16 weeks and extended to part-time retail teammates. Additional supports include childcare assistance at select locations and family-building benefits such as fertility, surrogacy, and adoption.

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The Company
HQ: Beaverton, OR
73,000 Employees
Year Founded: 1972

What We Do

At NIKE, Inc., we innovate to serve athletes*. Every teammate - from coder to creator - plays a role in making these athletes’ dreams real. Our tech, data, and digital teams push limits every day, building the future of sport and the tools that drive it. Here, curiosity is fuel. Innovation is the game plan. Different perspectives keep us on the offense. You’ll solve challenges worth tackling, grow fast and belong to a team that backs you to do the right thing. Bring your drive. Bring your bold. Let’s move the world, together. Take your first step at nike.com/careers * If you have a body, you’re an athlete.

Why Work With Us

At NIKE, Inc., your dedication fuels the future of sport. There is a sense of pride that comes from representing an iconic brand and shaping its future. Here, we treat every day as a new opportunity to push boundaries, ask tough questions and share whole-hearted convictions. We are a team – united by the belief that anything is possible.

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