Principal, Algorithm Engineer, Advanced Product Ventures at Nike

Beaverton, Oregon, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Sports Technology, WearablesIndustries

Requirements

Bachelor’s Degree or equivalent combination of relevant education, experience, or training
MS in engineering or computer science with 10+ years of experience; PhD with 7+ years of experience
Proven experience in signal processing
Proven experience in pattern recognition
Proven experience in machine learning
Proven experience in classification
Proven experience in other areas of machine intelligence
Experience with embedded sensor systems and microcontrollers
Experience deploying algorithms as real-time firmware in C
Experience with MATLAB and Python
Experience with machine learning frameworks
Experience with high-level “non-classical” control algorithms & techniques (MPC, LQR, Kalman filtering, etc.)
Experience with human subject testing, data collection, and real-time performance tracking
Positive energy, curiosity, and a passion for building magical products that users love
Strong technical savvy and understanding/curiosity about emerging innovative technologies
Ability to work in a fast-paced environment where continuous learning is core to our identity
Willingness to roll up your sleeves to win as a team
Expertise in mechanics, biomechanics, human locomotion, kinematics and dynamics (a plus)
Expertise in electromechanical control: sensors, filtering, and motor control (a plus)

Responsibilities

Develop and implement/program firmware and software algorithms for sensor primitives underlying powered athlete products and services
Advance algorithmic methodologies that enable capture of rich athlete data on resource-constrained embedded devices
Develop descriptive, predictive, and prescriptive models that link data from powered athlete products to athlete endpoints such as performance, fatigue, and injury
Deliver real-time firmware algorithms that compute sensor primitives for powered athlete products and services
Technical project management and planning, including creation of requirements, constraints, timelines, and methods to manage risk
Provide technical leadership around efficient implementation of sensor primitive algorithms
Provide technical leadership around architecture and implementation of descriptive, predictive, and prescriptive models of athlete performance
Collaborate with various teams to ensure algorithms effectively support athletes
Provide technical leadership to a team of engineers specializing in algorithms, controls, and firmware
Drive the execution of the powered athlete product roadmap
Be responsible for the algorithm behavior of powered athlete products and services

Skills

Signal Processing

Pattern Recognition

Machine Learning

Classification

Embedded Sensor Systems

Microcontrollers

MATLAB

Python

Machine Learning Frameworks

MPC

LQR

Kalman Filtering

Firmware

Nike

Designs and sells athletic footwear and apparel

About Nike

Nike designs, manufactures, and sells a variety of footwear, apparel, equipment, and accessories aimed at athletes, fitness enthusiasts, and everyday consumers. Their products are created to be stylish and performance-oriented, catering to the needs of a diverse clientele. Nike operates through multiple sales channels, including retail stores, online platforms, and third-party retailers, and enhances its brand image through endorsements from well-known athletes and sports teams. A key aspect of Nike's approach is its membership program, which offers exclusive access to products and content, fostering a deeper connection with consumers. Unlike many competitors, Nike places a strong emphasis on sustainability and corporate responsibility, integrating these values into its operations and product development. The company's goal is to continue growing by creating products that resonate with consumers while promoting positive social and environmental impact.

Beaverton, OregonHeadquarters

1964Year Founded

IPOCompany Stage

Consumer Software, Social Impact, Consumer GoodsIndustries

10,001+Employees