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Sr AI Engineer - Physical AI

Lowe's

Sr AI Engineer - Physical AI

full-timePosted: Aug 5, 2026Updated: Sep 1, 2026Lowe's Charlotte Technology Hub 3505

Job Description

Innovate in CharlotteThank you for dedicating your time and talent to Lowe’s. We want to give you more opportunities to learn and grow, so if you find a position you’re interested in below, we encourage you to apply!Your ImpactWe are seeking a Senior AI Engineer to lead the development and operationalization of Physical AI systems across Lowe’s stores and supply chain. This role sits at the intersection of robotics, computer vision, machine learning, and data platforms, translating real-world signals from vision, sensors, IoT, and robotics into scalable, production-grade AI systems.Work with a Winning TeamAs part of a Fortune 500 company and retail leader, your work can change an entire industry. Our CEO is a forward-thinker when it comes to tech, and with one of Forbes Top 50 CIOs leading the charge, you can come to work knowing you’ll have access to the data, tools, and support that few other companies can offer. We also know what it takes to create an inclusive culture that supports you. Our teams are structured around the engineer, giving you the support you need to do your best work. Since we’ve been in business for over 100 years, we’ve built an excellent track record of growth and success. There’s peace of mind knowing you have the stability and resources you need to focus on solving tough challenges. And as you solve these challenges, know you’ll be surrounded by supportive associates with curious minds who listen to you, respect you, and recognize your hard work.What You Will Do1. Physical AI Systems & Model DevelopmentDesign and deploy ML/DL models for robotics, computer vision, and Physical AI applications.Optimize models for real-time, edge, and scalable AI environments.Integrate perception, planning, and decision-making systems across AI platforms.2. Data Pipeline & Platform EngineeringBuild scalable data pipelines and streaming architectures for CV, IoT, robotics, and multimodal data.Develop reusable datasets and feature engineering pipelines.Ensure data quality, observability, and efficient data movement for AI workloads.3. AI Platform & MLOpsDesign and maintain AI platform tools, frameworks, and infrastructure supporting the ML lifecycle.Implement CI/CD, deployment, monitoring, and platform automation capabilities.Optimize GPU/CPU resource utilization for performance, scalability, and cost efficiency.Implement security, governance, and compliance best practices.4. Analytical Baselines & MeasurementDefine KPIs, evaluation frameworks, and model performance metrics.Lead experimentation, benchmarking, and A/B testing initiatives.Use platform insights and user feedback to drive continuous improvement.5. Cross-Functional CollaborationPartner with data science, robotics, CV, platform, and business teams to deliver scalable AI solutions.Translate business requirements into technical AI capabilities.Collaborate across teams to align platform innovation with organizational goals.6. LeadershipMentor engineers and drive engineering and MLOps best practices.Foster innovation, technical excellence, and continuous learning across teams.Minimum QualificationsBachelor’s degree in science, technology, engineering, math, or related field or equivalent years of experience in lieu of education requirement, if applicable4 years of experience in ML platform engineering, data, and MLOps tools, and ML frameworks3 years of experience working with GPU and CPU infrastructure, optimizing ML models for performance3 years of programming language experiencePreferred Skills/EducationMaster’s degree in science, technology, engineering, math, statistics, physics, economics, data science, information science, or quantitative analytics 3 years of experience working with continuous integration/continuous deployment tools3 years of experience in defining technical requirements and performing high-level design for complex solutions3 years of experience in SQL and NoSQL databases, Hadoop ecosystem, Druid, Trino, Big Query, Google Vertex AIExperience in robotics or computer visionKnowledge of real-time/edge AI systemsFamiliarity with Kafka, cloud AI platformsRetail or supply chain experienceBenefits401k with up to 4.25% matchDiscounted Employee Stock Purchase Plan (15% discount of strike price)Tuition-Free Education10-week Maternity/Parental Leave10% Associate DiscountFor information about our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits About Lowe’sLowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 100 home improvement company with total fiscal 2025 sales of more than $86 billion. Lowe’s employs approximately 300,000 associates and operates over 1,750 home improvement stores, 540 branches and 120 distribution centers. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. Lowe’s is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.

Locations

  • Lowe's Charlotte Technology Hub 3505
  • WA (SSC) 1395, Kirkland

Skills Required

  • lieu of education requirementintermediate
  • ML platform engineeringintermediate
  • defining technical requirementsintermediate
  • SQLintermediate
  • roboticsintermediate
  • real-time/edge AI systemsintermediate
  • Kafkaintermediate

Required Qualifications

  • Bachelor’s degree in science, technology, engineering, math, or related field or equivalent years of experience in lieu of education requirement, if applicable (experience)
  • 4 years of experience in ML platform engineering, data, and MLOps tools, and ML frameworks (experience, 4 years)
  • 3 years of experience working with GPU and CPU infrastructure, optimizing ML models for performance (experience, 3 years)
  • 3 years of programming language experience (experience, 3 years)

Preferred Qualifications

  • Master’s degree in science, technology, engineering, math, statistics, physics, economics, data science, information science, or quantitative analytics (degree in science)
  • 3 years of experience working with continuous integration/continuous deployment tools (experience, 3 years)
  • 3 years of experience in defining technical requirements and performing high-level design for complex solutions (experience, 3 years)
  • 3 years of experience in SQL and NoSQL databases, Hadoop ecosystem, Druid, Trino, Big Query, Google Vertex AI (experience, 3 years)
  • Experience in robotics or computer vision (experience)
  • Knowledge of real-time/edge AI systems (experience)
  • Familiarity with Kafka, cloud AI platforms (experience)
  • Retail or supply chain experience (experience)

Responsibilities

  • Design and deploy ML/DL models for robotics, computer vision, and Physical AI applications.
  • Optimize models for real-time, edge, and scalable AI environments.
  • Integrate perception, planning, and decision-making systems across AI platforms.
  • Design and deploy ML/DL models for robotics, computer vision, and Physical AI applications.
  • Optimize models for real-time, edge, and scalable AI environments.
  • Integrate perception, planning, and decision-making systems across AI platforms.

Benefits

  • general: 401k with up to 4.25% match
  • general: Discounted Employee Stock Purchase Plan (15% discount of strike price)
  • general: Tuition-Free Education
  • general: 10-week Maternity/Parental Leave
  • general: 10% Associate Discount
  • general: 401k with up to 4.25% match
  • general: Discounted Employee Stock Purchase Plan (15% discount of strike price)
  • general: Tuition-Free Education
  • general: 10-week Maternity/Parental Leave
  • general: 10% Associate Discount
  • general: For information about our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits

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