AI Engineer – HW Development

The Role:

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.

Key Responsibilities:

• Connect and structure hardware data sources (Jira, Excel, ERP, and design/test systems) so AI tools have clean, usable data to work from

• Across the Hardware organization, reduce design review preparation and execution from weeks to hours by automating material generation and consolidation

• Generate documentation, design review materials, and structured outputs (checklists, comparison tables, risk assessments) in consistent formats

• Produce summaries, forecasts, and burndown charts from historical project data

• Build agentic workflows that track hardware module status and automatically remind, summarize, and escalate across the development process

• Support engineers developing physical AI (embedding intelligence into distributed systems such as robots, cameras, grids, and ports)

Key Qualifications:

• 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

Preferred Skills

• 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

• Exposure to generative/autonomous design tools and an understanding of where they assist and augment engineering throughput

• Familiarity with developing physical AI solutions - embedding intelligence into distributed systems (robots, cameras, grids, ports)

• Familiar with project management concepts

We Offer:
AutoStore believes in taking care of employees and is dedicated to providing a supportive and rewarding work environment. Join us in our mission to store and move things for everyone, everywhere.  

• Comprehensive Medical, Dental, and Vision plans 

• Health Savings Account (HSA) with a company contribution 

• Generous Paid Time Off including 12 holidays, paid exercise time, paid volunteer time, and paid parental leave plans for all new parents 

• Retirement 401(k) plan with employer match and discretionary profit sharing contribution 

• Educational assistance and professional development programs, including mentorship/coaching programs with external industry leaders 

• Additional benefits include Group Life Insurance, Voluntary Additional Life Insurance, Disability Insurance, Employee Assistance programs, and more! 

AutoStore is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, pregnancy-related conditions, and lactation), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. 

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