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WHO YOU’LL WORK WITH Nike Innovation Underfoot Systems are a team focused on inventing future cushioning technologies and systems. The team consists of a collection of engineers, scientists, and innovators with a passion to create new technologies that benefit all of the world's athletes*. The team works from end to end, understanding athlete needs, delivering new concepts through ideation, method of make development and validation to advance cushioning systems for all athletes. WHAT YOU WILL WORK ON As a Cushioning Engineering Intern, you'll work with the Cushioning Innovation team to invent, innovate, evaluate and characterize future cushioning systems to help us better understand their function and performance. To do this successfully you will have a strong engineering problem solving mindset, a bias for getting your hands dirty, a self-starter mentality, and a positive energy that you show up with every day. You will be curious at your core, willing to challenge assumptions and imagine new possibilities. You will also exhibit an ability to clearly communicate complex technical topics to diverse audiences and at all levels within the organization. WHO WE ARE LOOKING FOR We’re looking for a curious and creative intern with a passion for learning and pushing the limits of what’s possible. As a Cushioning Engineer Intern, you will support the development of new performance based cushioning systems that result in growth opportunities and competitive advantages in the marketplace. This is a hands-on role that supports research and development of product innovations. Pursuing a master’s degree in Mechanical Engineering, Chemical Engineering, Industrial Engineering or a related field with a graduation date between December 2027 and June 2028. Proven project management skills including experience with project tracking tools Experience creating and executing Design of Experiments (DOE) Comfortable running complex machinery with high regard for safety Familiarity with systems thinking approach and application Strong data analytics: capture, analysis, and presentation skills Excellent multi-tasking and organization skills Systematic and creative problem-solving skills Plastics molding, injection tooling, mold design experience preferred Strong mechanical aptitude and ability to use manual tools Experience creating and/or interpreting 3D models with design engineering software such as Rhino, Siemens NX, a plus. Strong communication skills with ability to communicate across a variety of audiences This is a 10-week paid internship opportunity with relocation assistance. Curious to know what it’s like to be part of a world-class Internship Program? Check out our recap video from last summer: Nike Internship Program Recap Video 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 .

WHO YOU’LL WORK WITH This internship is part of Nike’s Advanced Product Intelligence team, a group within the Advanced Innovation Collective, that focuses on building intelligent capabilities for designers, engineers, and creators to reimagine the future of physical product design. During your internship, you’ll work closely with multidisciplinary teammates across ML Engineering, Computational Engineering, Generative AI Design, and Data Analysis. WHAT YOU’LL WORK ON In the role of an AI/ML Engineer Intern, you will apply your AI/ML expertise to help teams explore, evaluate, and improve product concepts faster. You will build intelligent models, workflows, and prototypes that use product performance data to accelerate the product innovation process. You will lead or collaborate on efforts such as: Prototyping AI/ML tools that support engineering and creative workflows for footwear and apparel design and simulation Exploring applications of AI/ML and product performance data to engineering simulation workflows, including physics-based modeling, FEA, optimization, and virtual product development Training lightweight, domain-specific predictive ML models using generated, simulated, experimental, or curated datasets Building interactive prototypes or internal tools that make intelligent capabilities usable and understandable by Design and Engineering teammates Over the course of the internship, you’ll work alongside a passionate and multidisciplinary team that’s shaping the future of product innovation at Nike. You’ll present your project to stakeholders at the end of the internship and contribute to documentation that helps scale your work beyond the summer. And finally, you’ll walk away with meaningful, real-world experience at the intersection of AI/ML and breakthrough products that make athletes* better. WHO WE ARE LOOKING FOR We’re looking for a graduate-level engineering intern with a strong foundation in machine learning and artificial intelligence who is eager to apply those skills to real-world challenges in product innovation. Candidates with experience in computational engineering, mechanical engineering, simulation, digital product development, or physics-based modeling are especially encouraged to apply. This internship will be project-based, with room for tailoring based on your interests and strengths. Our ideal candidate brings not only technical capability, but also a self-directed, builder mindset and a curiosity for solving ambiguous and novel problems. You love digging into real-world datasets, training models, testing outputs—and improving them. You’re as excited by open-ended creative problems as you are by well-defined engineering challenges. Currently pursuing a Master’s degree in Computer Science, Machine Learning, Data Science, Computational Engineering, Mechanical Engineering, or a related technical field with a graduation date between Winter 2027 and Summer 2028 Strong foundational understanding of core machine learning concepts (e.g., supervised & unsupervised learning, neural network architectures, model training and evaluation, tradeoffs in model selection, overfitting and underfitting behavior) Hands-on experience building AI/ML-powered systems, workflows, or technical prototypes (either academic, personal, or professional) Experience in one or more relevant areas, such as surrogate modeling, computer vision, transformers, 3D geometry, or simulation data Exposure to engineering simulation methods such as finite element analysis (FEA), computational modeling, optimization, or design exploration Proficiency in Python and commonly used ML libraries (e.g., PyTorch, OpenCV, NumPy, pandas, TensorFlow, scikit-learn) Comfort navigating ambiguous problem spaces and proposing your own ideas or approaches Demonstrated ability to communicate technical findings to diverse audiences in verbal and written form This is a 10-week paid internship opportunity with relocation assistance. Curious to know what it’s like to be part of a world-class Internship Program? Check out our recap video from last summer: Nike Internship Program Recap Video 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 .

WHO YOU’LL WORK WITH At Nike, we harness the power of data and technology to serve athletes* worldwide. The Data, Analytics, and Intelligence (DAI) team is at the forefront of this mission—building scalable, secure, and intelligent platforms that enable data-driven decision-making and personalized experiences across the Nike ecosystem. WHO WE ARE LOOKING FOR We are looking for candidates who enjoy a collaborative and academic environment where we develop and share new skills, mentor, and contribute knowledge and software back to the analytics and engineering communities both within Nike and at-large. We value and nurture our culture by seeking to always be collaborative, intellectually curious, fun, open, and diverse. Undergraduate degree in Computer Science, or equivalent experience 1+ years of professional software engineering experience Strong problem solving and analytical mindset Ability to write robust, maintainable, and extendable code in Python Nice to have familiarity with front-end languages (HTML, CSS, JavaScript or TypeScript) and UI frameworks such as React or rapid-prototyping tools such as Streamlit Experience with Infrastructure-as-Code (IaC) and GitOps workflows Experience with cloud architecture and technologies, in particular Amazon Web Services and large-scale application development on cloud platforms Experience and familiarity with containerization (Docker), CI/CD pipelines, industry instrumentation standards (OTEL) and tools (e.g., Splunk) and dependency management tools (e.g., uv) Familiarity with agile development and test-driven development Understanding of data structures, data modeling and software architecture Familiarity with enterprise authentication/authorization protocols (OAuth, OIDC, Okta, or similar SSO platforms). Effective verbal and written communication skills (with team members, the business, and in code). WHAT YOU’LL WORK ON We seek passionate Software Engineers to join our team. As a Software Engineer, you will be designing and delivering robust, scalable AI/ML solutions that accelerate insights at enterprise scale. You should have experience in Python and nice to have some familiarity with front end technologies and building user-facing applications; a strong background in algorithms and data structures; hands-on AWS experience; as well as familiarity in database technology (e.g. Postgres, Redis). As a Software Engineer, you will: Design, develop, and maintain scalable AI services powering Nike’s data platforms. Build SDKs, APIs, and microservices to support enterprise-wide applications. Develop agentic workflows and AI/LLM-powered enterprise applications. Build user-facing applications and internal tools using modern UI frameworks (e.g., React, Streamlit) to surface AI/ML capabilities to end users. Collaborate with product managers and cross-functional engineering teams to deliver impactful solutions. Implement best practices in software development, data governance, and platform observability. Participate in code reviews, provide constructive feedback as well as incorporate feedback given.

WHO YOU'LL WORK WITH You will work closely with senior engineers, Finance and Procurement business partners, internal audit, IT controls, product managers, and program stakeholders across Nike. You will support audit and compliance requests from internal and external auditors, helping gather evidence and respond to control inquiries related to Coupa. You will collaborate with engineers across product squads and platform teams—including Coupa, SailPoint/IdentityIQ (IIQ), and other indirect procurement systems—to support user access reviews, role mapping, configuration change tracking, and audit evidence collection. You will learn from senior team members through pairing, documentation reviews, and guided troubleshooting while contributing to team delivery and operational support. WHO WE ARE LOOKING FOR We're looking for a Software Engineer - II who is eager to build a career in indirect procurement technology with a focus on Coupa audit, control, and compliance support. You will assist in responding to audit requests, supporting user access and configuration change reviews, and executing Coupa-related changes under the guidance of senior engineers. The ideal candidate has foundational understanding of Procure-to-Pay processes, attention to detail, and interest in audit-ready systems. You are organized, curious, and comfortable working with structured evidence requests, access management concepts, and Coupa administration tasks. Strong written communication and the ability to follow established procedures are essential. Required qualifications Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent combination of education and experience. Min 4 years of overall experience in software engineering, IT application support, or enterprise business systems, with exposure to indirect procurement or finance technology. 2+ years of hands-on experience supporting COUPA audit, control, or compliance-related activities—such as user access reviews, configuration change evidence, or ITGC/SOX request support. Working knowledge of Coupa administration, configuration, or production support—including workflows, user roles, approvals, and basic platform troubleshooting. Understanding of user access management concepts and experience supporting identity management tools (e.g., SailPoint, IdentityIQ) or equivalent access governance processes. Familiarity with Procure-to-Pay (P2P) and Source-to-Pay (S2P) processes and how Coupa supports requisition, approval, and payables workflows. Ability to gather, document, and present audit evidence in structured formats with accuracy and attention to detail. Strong collaboration skills and willingness to work in an Agile delivery environment under senior engineer guidance. Preferred qualifications Exposure to Coupa configuration changes, release notes review, and regression testing support. Basic understanding of SAP S/4HANA or SAP ECC integration touchpoints with Coupa. Familiarity with ITGC/SOX control frameworks and evidence requirements for enterprise SaaS applications. WHAT YOU'LL WORK ON As a Software Engineer - II on the Indirect Procurement Technology team, you will support Coupa audit and control compliance activities and assist with Coupa configuration and enhancement work. You will help ensure audit requests are responded to accurately and on time, and that Coupa changes follow Nike change management and control standards. Key responsibilities include: Support internal and external audit requests related to Coupa SOX/ITGC controls by gathering evidence, documenting findings, and presenting information in required formats under senior engineer review. Assist with user access audit requests—including role reviews, access certification support, user provisioning/deprovisioning validation, and mapping Coupa roles to identity management tools such as SailPoint/IIQ. Support configuration change audit requests by tracking Coupa configuration changes, maintaining change evidence, and helping validate that changes follow approved change management processes. Execute Coupa configuration and enhancement tasks as assigned—such as workflow updates, approval rule changes, user role adjustments, and basic troubleshooting—in test and production environments. Partner with senior engineers, finance, and business teams to clarify audit requirements and ensure responses are complete and accurate. Participate in testing and validation activities for Coupa changes, including regression support and documentation of test results. Troubleshoot Coupa application and access-related issues; escalate complex integration or production issues to senior engineers. Maintain clear documentation—including audit evidence logs, access review records, configuration change notes, and support procedures. Participate in Agile ceremonies and communicate progress, blockers, and risks to the team lead or senior engineer.

WHO YOU’LL WORK WITH This role is part of the APLA Local Creation team and reports to the Director, Apparel Product Management, Express Lane APLA based in Portland. The Lead Developer partners closely with Product Management, Design, Materials, Sourcing, Costing, Quality, and Manufacturing teams, as well as factory partners across China and Southeast Asia. WHO WE ARE LOOKING FO R APLA Local Creation is looking for a collaborative, solutions-oriented apparel developer who can bring locally relevant product concepts to life with speed, quality, and strong execution. The ideal candidate brings deep apparel development and commercialization experience, strong technical knowledge of product expression, and an understanding of apparel quality and product standards across Asia Pacific, particularly Korea and Japan. This person is comfortable managing multiple projects, working across cultures and time zones, and partnering directly with factories to resolve development challenges. They balance creative intent with quality, cost, manufacturability, and delivery requirements. While the current scope is primarily focused on graphics, color, garment finishing, embellishments, and selective material updates, broader experience in cut-and-sew development, material development, or end-to-end new product creation is an advantage as Local Creation capabilities continue to evolve. 8+ years of apparel product development and commercialization experience, preferably in sportswear, lifestyle, streetwear, or fashion apparel. Bachelor’s degree in Apparel Design, Product Development, Textile Engineering, Textile Science, Industrial Design, or a related field, or an equivalent combination of education and experience. Strong knowledge of apparel expression techniques, including graphics, print applications, embellishments, garment finishing, wash techniques, and material enhancements. Experience working directly with apparel factories across Asia and strong understanding of apparel quality and product standards in Asia Pacific, particularly Korea and Japan. Professional fluency in English; experience in a global or multinational organization is preferred. Ability to travel up to 20% of the time as required. WHAT YOU’LL WORK ON You will lead the development and commercialization of APLA Local Creation apparel, translating marketplace-relevant concepts into high-quality, manufacturable products. You will drive execution across expression-led updates while partnering with cross-functional teams and factories to deliver product excellence, speed, and business results. You will Lead product development and commercialization across multiple Local Creation initiatives, managing timelines, deliverables, and development risks. Translate creative concepts into executable product solutions across graphics, color, garment finishes, embellishments, and selective material updates. Partner with Product Management, Design, Materials, Sourcing, Costing, Quality, and Manufacturing teams to balance design intent, quality, cost, manufacturability, and speed. Manage sample development and reviews, provide clear technical feedback, and resolve product, quality, and production issues through commercialization. Collaborate with factory partners across China and Southeast Asia to identify scalable capabilities, improve execution, and explore new expression and manufacturing techniques. Provide technical leadership, share regional product and manufacturing insights, and support the development of Local Creation capabilities across APLA. Contribute broader product creation expertise, including cut-and-sew construction or material development, as the team’s scope evolves.