AI Engineer – HW Development

Posted 2 Days Ago
Atlanta, GA, USA
Hybrid
Junior
Hardware • Logistics • Software
By using a grid and robots, AutoStore increases warehouse capacity and decreases the time to fulfill orders!
The Role
Develop AI solutions to accelerate hardware engineering: connect and structure HW data sources, automate design review material generation, build agentic workflows, produce forecasts and summaries, and support embedding intelligence into distributed physical systems.
Summary Generated by Built In
Job Description

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 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:

  • 0–5 years of experience delivering data and AI solutions, or equivalent

  • 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. 

Recruitment Agencies 

AutoStore does not accept agency resumes or assistance. Please do not forward resumes to our jobs alias or AutoStore employees. AutoStore is not responsible for any fees related to unsolicited resumes.

Skills Required

  • 0-5 years of experience delivering data and AI solutions, or equivalent
  • 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
  • Familiarity evaluating and integrating commercial EDA platforms with embedded AI/multimodal capabilities (e.g., Siemens Fuse, Cadence Allegro X AI, Quilter)
  • 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

AutoStore Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AutoStore and has not been reviewed or approved by AutoStore.

  • Retirement Support Retirement programs include a 401(k) with employer contributions alongside profit sharing, indicating meaningful long-term savings support. Governance materials emphasize alignment of pay and employment terms across the organization, reinforcing structured retirement-related practices.
  • Healthcare Strength Medical, dental, and vision coverage are described as comprehensive with high employer cost share, supplemented by company-funded HSA contributions. Income protection and life insurance are included, enhancing overall health and security benefits.
  • Leave & Time Off Breadth Time off is positioned as flexible with unlimited PTO, paid sick time, and paid volunteer days. Flexible work arrangements (remote, hybrid, in-office) further support work-life balance.

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The Company
HQ: Nedre Vats
800 Employees
Year Founded: 1996

What We Do

Welcome to AutoStore, where we make space and storage simpler! AutoStore™, founded in 1996, is a warehouse robot technology company that invented and continues to pioneer cube storage automation, the densest order-fulfillment solution in existence. Our focus is to marry software and hardware with human abilities to create the future of warehousing. The company is global, with over 950+ systems in 45 countries in a wide range of industries. All sales are distributed, designed, installed, and serviced by a network of qualified system integrators we call "partners". Figuring other industries could benefit from this new cube storage automation concept, Arrow Electronics acquired Hatteland Electronic in 2000. The funding enabled Hatteland Group to invest in AutoStore, and from that moment the commercialization period started. The mature and robust product called AutoStore was to become the backbone of the Hatteland Group and it was ready to conquer the world. In 2021, investment powerhouse SoftBank became an AutoStore shareholder following prior acquisitions by Thomas H. Lee Partners, L.P. and EQT Private Equity. Today, with more than 950 systems and 40,000 robots across 45 countries, AutoStore is poised to continue its aggressive global expansion.

Why Work With Us

AutoStore is positive, strong, and humble community. We started amongst neighbors in a small town in Norway. We believe to treat our neighbors with respect and care. We drive and cherish this community feeling, even as we grow beyond our original borders. Here we provide opportunity, growth, and flexibility to live our best lives!

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