Principal Controls Engineer, Advanced Product Ventures

Position Type

Career area

Machine Learning

Location

1 Bowerman Drive, Beaverton, Oregon 97005, United States

Job ID

R-91954

Become a Part of the NIKE, Inc. Team

NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game.

WHO YOU’LL WORK WITH

This role sits at the center of a multidisciplinary team developing the next generation of powered athlete products. The Principal Controls Engineer will partner closely with controls, firmware, hardware, sports science, and product teams to bring intelligent mechatronic systems to life. This individual will provide technical leadership, influence product direction, and collaborate across research and engineering functions to deliver breakthrough athlete experiences.

WHO WE ARE LOOKING FOR

Nike is seeking a seasoned controls expert who thrives in ambiguity and is energized by transforming advanced concepts into commercial-grade products. This individual brings deep experience in real-time control systems, embedded software, machine intelligence, and human-in-the-loop product development. They have a strong track record of shipping complex electromechanical products and possess the judgment, technical leadership, and systems thinking required to solve challenging problems at the intersection of hardware, software, and human performance.

The ideal candidate combines expertise in modern control methodologies with a passion for innovation. They are equally comfortable developing algorithms, guiding technical architecture, building development tools, and collaborating with cross-functional teams. They embrace emerging technologies, including artificial intelligence-assisted development, and continuously look for opportunities to accelerate learning, iteration, and impact. Most importantly, they are motivated by creating products that feel seamless, intuitive, and transformative for athletes.

• Open to work in Beaverton, Oregon (in-person required)
• 10+ years of experience with a Master’s degree, or 7+ years of experience with a PhD, in controls engineering, robotics, electrical engineering, mechanical engineering, computer science, or a related field
• Master’s degree in Engineering, Computer Science, Robotics, Controls Engineering, or related field. Will accept any suitable combination of education, experience and training
• Demonstrated expertise in Model Predictive Control (MPC), Linear Quadratic Regulator (LQR), Kalman filtering, sensor fusion, embedded controls, and machine learning systems
• Experience deploying real-time algorithms in C/C++, leading technical programs, and building commercial electromechanical products

WHAT YOU’LL WORK ON

You will define how powered athlete products sense, decide, and act in real time. Working from early concepts through commercialization, you will develop advanced control systems, build intelligent embedded solutions, and collaborate with world-class partners to create responsive, safe, and athlete-centered experiences.

• Develop and deploy real-time control algorithms that determine how and when assistance is delivered on resource-constrained embedded hardware
• Apply advanced control techniques including Model Predictive Control (MPC), Linear Quadratic Regulator (LQR), Kalman filtering, sensor fusion, data-driven control, and learning-based control to complex product challenges
• Design systems that predict athlete intent and gait from noisy sensor inputs and translate those insights into precise, responsive motor behavior
• Partner closely with firmware, hardware, product, and sports science teams to validate solutions through laboratory, simulation, and on-body testing
• Build custom simulation environments, data analysis pipelines, automation tools, and development workflows that accelerate controller development and product maturity
• Advance embedded machine learning capabilities and edge-based intelligence to improve product adaptability and performance
• Establish performance metrics, monitor system behavior, identify opportunities for improvement, and drive enhancements across the product lifecycle

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.

NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.

NIKE, Inc. is an equal opportunity employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

What You Can Expect

OUR HIRING GAME PLAN

01 Apply

Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit – review job descriptions, departments and teams to discover the role for you.

02 Meet a Recruiter or Take an Assessment

If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you’ll complete an interactive assessment that includes a chat and quizzes and takes about 10-20 minutes to complete. No matter the role, we want to learn about you – the whole you – so don’t shy away from how you approach world-class service and what makes you unique.

03 Interview

Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.