Principal Controls Engineer, Advanced Product Ventures

Posted Yesterday
Be an Early Applicant
Beaverton, OR, USA
In-Office
Expert/Leader
Other • Retail
At NIKE, Inc., technology is laying the foundation for our digital transformation and direct-to-consumer strategy.
The Role
Leads development of real-time control systems for intelligent, powered athlete products. Designs and deploys MPC, LQR, Kalman filtering, sensor fusion, data-driven, and learning-based algorithms on resource-constrained embedded hardware. Collaborates with firmware, hardware, product, and sports science teams to validate systems through simulation, laboratory, and on-body testing. Builds simulation, analytics, and automation tools, advances edge machine learning, establishes performance metrics, and provides technical leadership through commercialization.
Summary Generated by Built In

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.

Skills Required

  • 10+ years of experience with a Master's degree in controls engineering, robotics, electrical engineering, mechanical engineering, computer science, or a related field
  • 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 a related field, or suitable equivalent combination of education, experience, and training
  • Demonstrated expertise in Model Predictive Control, Linear Quadratic Regulator, Kalman filtering, sensor fusion, embedded controls, and machine learning systems
  • Experience deploying real-time algorithms in C/C++
  • Experience leading technical programs
  • Experience building commercial electromechanical products
  • Ability to work in person in Beaverton, Oregon

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.

Nike Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

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.

Gallery

Gallery

Similar Jobs

Liberty Mutual Insurance Logo Liberty Mutual Insurance

Global Risk Solutions Claims Specialist Development Program (January, June 2027)

Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Remote or Hybrid
6 Locations
40000 Employees
60K-70K Annually

Optum Logo Optum

Schedule Specialist- Home Health

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office
Clackamas, OR, USA
160000 Employees
18-26 Hourly

Wipfli Logo Wipfli

Consultant

Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Remote or Hybrid
United States
2900 Employees
60K-81K Annually

Wipfli Logo Wipfli

Product Owner

Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Remote or Hybrid
United States
2900 Employees
107K-144K Annually

Similar Companies Hiring

Rosendin Thumbnail
Other • Manufacturing
San Jose, CA
6219 Employees
OmniCable Thumbnail
Other
Houston, Texas
815 Employees
Golden Pet Brands Thumbnail
Digital Media • eCommerce • Information Technology • Marketing Tech • Pet • Retail • Social Media
El Segundo, California
178 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account