AI Engineer – HW Development
Atlanta, GA, USA On-site
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About the role
AutoStore™ holds a simple yet powerful vision: to store and move things for everyone, everywhere. Founded in Norway, we've grown into a global technology company. AutoStore uses advanced software to automate and orchestrate order fulfillment. Our goal is to ensure orders arrive faster than ever, with minimal environmental impact. That’s how we help brands exceed customer expectations. We have more than 1600 systems in nearly 60 countries, and we grow continuously as a community of employees, partners, customers, suppliers, and connected technologies. Automation should make life easier, and by listening carefully to our community, we innovate to meet the industry’s most complex needs. With AutoStore™, brands gain speed, efficiency, and improved workplaces. And much more floor space. AutoStore – moving things forward. The AI Engineer develops AI based solutions that increase the overall productivity of the HW engineering team. This includes, creating data models to facilitate the use of AI tools, creating AI agents and models that reduce the time to do HW designs, reviews, and testing. The HW focused AI Engineer reports to the VP of HW NPD and Innovation Engineering located in Atlanta, GA.
What you'll bring
- 2–5 years of experience delivering data and AI solutions, or equivalent
- Experience in designing HW solutions from concept to delivery
- Familiar with HW design tools and concepts (CAD tools, simulation, etc)
- Ability to create data structures that facilitate the optimal use of AI tools
- Ability to connect existing tools (Jira, Excel, ERP systems, etc.) via APIs to push and pull data
- Ability to produce structured output generation - design review materials in consistent formats (Word, PowerPoint, PDF)
- Familiar with design tools, processes, and techniques required to deliver hardware solutions on schedule
- Strong problem-solving skills and the ability to work both independently and as part of a team
- Excellent communication skills across organizational levels
- Bachelor's or Master's degree in electrical engineering, computer engineering, computer science, systems engineering, or a related field
- Familiarity with RAG (Retrieval-Augmented Generation) to pull from libraries of historical designs, specs, and schematics for grounded suggestions
- Familiarity evaluating and integrating commercial EDA platforms with embedded AI/multimodal capabilities (e.g., Siemens Fuse, Cadence Allegro X AI, Quilter) — tool selection and integration, not model building