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Principal AI Software Engineer- Warehouse Systems; REMOTE

Remote / Online - Candidates ideally in
Georgia, USA
Listing for: Home Depot
Remote/Work from Home position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 240000 USD Yearly USD 240000.00 YEAR
Job Description & How to Apply Below
Position: Principal AI Software Engineer- Warehouse Systems (REMOTE)

Employer Industry

Retail and Supply Chain Technology

Why consider this job opportunity
  • Salary up to $240,000
  • Success sharing bonus and comprehensive health care benefits
  • 401K and Employee Stock Purchase Plan (ESPP)
  • Opportunity for career advancement within a leading company in retail technology
  • Collaborative and innovative work environment that encourages professional growth
  • Engage in cutting‑edge AI and machine learning projects that impact supply chain efficiency
What to Expect (Job Responsibilities)
  • Lead the design and development of AI solutions for Warehouse Management and Execution Systems (WMS/WES)
  • Collaborate with product team members to create secure and scalable software solutions
  • Write custom code for automation, infrastructure, and testing to ensure system reliability
  • Monitor production systems and respond to high-priority issues and outages
  • Mentor junior engineers and promote best practices in AI and software development
What is Required (Qualifications)
  • Must be eighteen years of age or older
  • Mastery of an object‑oriented programming language (preferably Java)
  • Minimum of 6 years of relevant software engineering experience, particularly in AI/ML or algorithmic systems
  • Strong experience in cloud platforms (AWS, Azure, or Google Cloud) and automation patterns
  • Proven experience implementing secure and high‑availability systems in production environments
How to Stand Out (Preferred Qualifications)
  • 6-8 years of experience in AI/ML, data science, or warehousing contexts
  • Mastery of Python and advanced machine learning frameworks (e.g., Tensor Flow, PyTorch)
  • Deep knowledge of edge computing and IoT protocols
  • Experience with CI/CD tool chains and automated deployment of ML models
  • Demonstrated leadership in cross-disciplinary teams and ability to communicate complex AI concepts

We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.

We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.

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