Lead Computational Capabilities Engineer

Global Sports Jobs Limited; Pahokee (FL); Presencial; USD 110.000 - 170.000; Jornada completa

Descripción de la vacante

Nike’s Design Lab within the Advanced Innovation organisation seeks a seasoned software engineer to build and scale the digital infrastructure powering multi-axis manufacturing platforms for footwear and apparel. You will connect design intent to machine execution, prototype in Rhino/Grasshopper, and translate concepts into robust Python and C applications.

The role emphasizes an engineer-first mindset, hands-on prototyping, and collaboration across cross-functional teams to accelerate platform

Formación

• Bachelor's degree in a relevant field (software/engineering or design computing) as required.
• 4-5+ years building custom software and computational workflows for design, engineering, and manufacturing.
• Strong Python and C# proficiency with production-ready coding discipline.

Responsabilidades

• Build and scale digital infrastructure powering Nike Innovation’s multi-axis manufacturing platforms.
• Create end-to-end digital pipelines connecting design intent to machine execution across multi-axis additive and CNC platforms.
• Prototype and translate concepts into scalable Python/C applications and reusable engineering frameworks.
• Collaborate with engineers, designers, and external partners to accelerate platform development and manufacturing innovation.
• Develop validation systems, automation, and digital safeguards to improve reliability.

Conocimientos

Python

C#

Engineering mindset

Collaboration

Testing practices

Educación

Bachelor's degree in Software Engineering / Computational Design / Computer Science

Herramientas

Rhino/Grasshopper

Version control

G-code generation

RobotStudio

Multi-axis machine integration

Descripción del empleo

About the Role

This role sits within the Design Lab in Nike’s Advanced Innovation organisation and reports into the Innovation organisation. It builds and scales the digital infrastructure powering Nike Innovation’s multi-axis manufacturing platforms, connecting computational design to physical execution across footwear and apparel. The role partners closely with process engineers, materials scientists, computational designers, product designers, technical programme managers, machine builders, technicians, external integrators, and cross-functional teams. It focuses on translating emerging manufacturing concepts into operational realities through software, hardware, and advanced manufacturing technologies.

Key Responsibilities

• Build and scale the digital infrastructure powering Nike Innovation’s multi-axis manufacturing platforms.
• 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 optimise 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.

Required Experience & Qualifications

• 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#.
• Strong expertise in computational geometry, Rhino/Grasshopper, version control, testing, and documentation best practices.
• Engineer-first mindset with expertise at the intersection of software, manufacturing, and innovation.
• Deep expertise in building computational tools and workflows that connect design intent to physical execution.
• Hands-on maker mindset, moving between writing production-ready code and operating advanced manufacturing equipment.
• Comfort contributing to complex Python and C codebases, generating machine code for multi-axis systems, and validating results through physical prototyping.
• Passion for emerging manufacturing technologies.
• Ability to collaborate across multidisciplinary teams.
• Thoughtful perspective on modern AI-enabled development workflows, including knowing when to leverage technology to accelerate innovation while maintaining engineering rigour.

Preferred Skills

• Experience with C++.
• Experience generating machine code (G-code or equivalent) for multi-axis manufacturing systems.
• Experience working with robotics and motion-planning platforms such as RAPID and RobotStudio.

The Application Process

Nike offers a number of accommodations to complete the interview process, including screen readers, sign language interpreters, an accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed.