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Hardware & Systems Integration Engineer; AI + Robotics + Media Automation

Job in Lehi, Utah County, Utah, 84043, USA
Listing for: Pattern
Full Time position
Listed on 2025-12-07
Job specializations:
  • IT/Tech
    AI Engineer, Systems Engineer
Job Description & How to Apply Below
Position: Hardware & Systems Integration Engineer (AI + Robotics + Media Automation)

Overview

Are you obsessed with data, partner success, taking action, and changing the game? Pattern is looking for a Hardware & Systems Integration Engineer to design, build, and orchestrate the physical systems behind our AI-powered imaging workflows. This is a full-time, hybrid role based in Lehi, Utah, where you’ll merge AI, robotics, and creative automation to transform how product imagery and videos are captured for online marketplaces.

Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. We optimize and automate levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service across 60+ global marketplaces—including Amazon, , , eBay, Tmall, Tik Tok Shop, JD, and Mercado Libre. To learn more, visit  or email

Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®.

Responsibilities
  • Design and automate hardware workflows involving robots, motion rigs, lighting, and cameras.
  • Write Python or control scripts to manage and synchronize hardware systems (APIs, SDKs, or ROS integrations).
  • Configure and control off-the-shelf robotics and lighting systems—no custom circuit design required.
  • Set up and manage local and remote GPU servers used for running AI models (installation, optimization, uptime).
  • Collaborate with the software and AI teams to align physical systems with model workflows.
  • Prototype automation tools that simplify media production and logistics operations.
  • Lead a junior engineer in assembling and testing hardware systems.
What You Won’t Need to Do
  • No backend or web development.
  • No AI model training, data processing, or ML deployment.
  • No circuit design or soldering.
  • Your job is to make the machines move and perform — not to write backend infrastructure or train models. You’ll have a dedicated software team for that.
Qualifications
  • 3–5+ years of experience in hardware systems integration, robotics, or automation engineering.
  • Strong Python skills for automation, scripting, and hardware control.
  • Experience with hardware SDKs, APIs, and motion control software.
  • Familiarity with Linux systems, Docker, and GPU hardware setup.
  • Working understanding of cameras, lighting, and motion systems used in photography or video production.
  • Excellent problem-solving skills and a love for hands-on prototyping.
  • AWS or cloud experience is a plus, but not required.
  • (Optional) Familiarity with ROS, OpenCV, or other control frameworks.
What does high performance look like?
  • You follow through with all assignments in a timely manner.
  • You give 100% to all tasks and projects you are given.
  • You take full ownership of your projects and follow through to completion.
  • You ensure hardware systems perform reliably, efficiently, and in sync with AI workflows.
  • You proactively identify opportunities to automate and improve production systems.
Career growth
  • As a Hardware & Systems Integration Engineer, you’ll have opportunities to grow into roles focused on robotics system architecture, automation design leadership, or technical management. You’ll gain exposure to cross-functional AI, software, and production engineering teams and contribute to Pattern’s cutting-edge creative automation initiatives.
First 30, 60, 90 days
  • 30 Days:
    Learn the existing hardware and imaging infrastructure, understand key automation systems, and begin hands-on integration work.
  • 60 Days:
    Take ownership of specific hardware workflows and begin improving system reliability, synchronization, and performance.
  • 90 Days:
    Deliver a fully functional automated hardware workflow integrated with AI pipelines, demonstrating measurable improvements in production efficiency.
Team and culture
  • You will work with other engineers and AI specialists and be supervised by the VP of AI Transformation. This team is data-driven and results-oriented. You will collaborate regularly with members of your team to implement actionable solutions.…
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