AI Systems Engineer - Accelerating Firmware & Controls

Nike

Beaverton (OR)

On-site

USD 180,000 - 240,000

Full time

3 days ago
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Job summary

Nike seeks a seasoned tech leader in Beaverton to drive AI/ML powered workflows accelerating firmware and mechatronic development.

You will shape architectures, build tooling, and mentor teams across firmware, controls, and hardware to deliver production-grade solutions. This role emphasizes hands-on engineering, ambiguity navigation, and scalable infrastructure for rapid iteration and testing.

Qualifications

  • Master’s degree in Engineering, Computer Science, Artificial Intelligence, Robotics, or related field. Will accept any suitable combination of education, experience and training.
  • Demonstrated expertise in production AI and Machine Learning systems, simulation environments, infrastructure tooling, and embedded software development.
  • Strong proficiency in Python, C++, modern AI development platforms, agentic workflows, and learning-based control methodologies.

Responsibilities

  • Develop and deploy AI-powered workflows and automation for firmware and controls.
  • Build scalable simulation and sim-to-real environments for rapid hardware testing.
  • Create training, testing, and deployment frameworks for real-time embedded systems.
  • Collaborate with firmware, controls, hardware, and product teams to remove bottlenecks.
  • Design automated optimization and tuning systems to boost controller performance.
  • Apply ML and data-driven methods to detect regressions and failures.
  • Support data pipelines and orchestration for learning-based control initiatives.

Skills

Artificial Intelligence
Software engineering
Simulation infrastructure
Learning-based systems
Python
C++
AI development platforms
Agentic workflows
Learning-based control methodologies

Education

Master’s degree in Engineering, Computer Science, AI, Robotics, or related field
PhD with 7+ years of relevant experience

Job description

Nike seeks a seasoned tech leader in Beaverton to drive AI/ML powered workflows accelerating firmware and mechatronic development.

You will shape architectures, build tooling, and mentor teams across firmware, controls, and hardware to deliver production-grade solutions. This role emphasizes hands-on engineering, ambiguity navigation, and scalable infrastructure for rapid iteration and testing.

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