- Salary
- $110k – $220k
- Location
- (USA) INNOVATIONS LAB BENTONVILLE AR BENTONVILLE Home Office, United States of America
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Experience
- 3+ years
- Education
- Master
- Source
- Workday
Description
Position Summary...
What you'll do...
Role summary:We are seeking a highly technical, hands-on Vision Engineer (Individual Contributor) to develop and deploy advanced robotics systems across Walmart’s supply chain network. This role operates across the full robotics stack—from perception and modeling to system integration and field deployment. You will play a critical role in translating innovation into production-ready solutions, working at the intersection of robotics, AI, and large-scale operations.
About the team:
Walmart’s Advanced Engineering & Robotics team at Bentonville’s Innovation Lab pioneers next-generation automation solutions for supply chain operations. This team designs, develops, and deploys proprietary robotics systems in collaboration with leading solution providers, creating custom technologies. Focused on transforming concepts into scalable applications, the team drives continuous improvement through advanced analytics, systems design, and project management. Members contribute to impactful projects enhancing operational efficiency and innovation, supporting Walmart’s commitment to technological advancement and operational excellence.
What you'll do:
Perception & Computer Vision (Primary Focus)
- Design, develop, and deploy robust perception systems for real-world robotics environments
- Build advanced computer vision models (detection, segmentation, pose estimation, 3D perception)
- Develop and optimize multi-sensor fusion pipelines (RGB, RGB-D, LiDAR)
- Integrate perception outputs with planning, control, and decision systems
- Deploy and validate perception-driven robotics systems in lab and production environments
- Lead field testing, debugging, and performance tuning of perception modules
- Transition perception capabilities from prototype to scalable production systems
- Exposure to ROS / ROS2-based perception architectures
- Experience with Vision-Language-Action (VLA) or perception-driven AI systems
- Optimize and deploy perception/AI models on edge devices (GPUs/accelerators)
What you'll bring:
Top Must-Have Qualifications
- Strong hands-on experience in robotics perception / computer vision systems
- Proven ability to deploy and debug vision systems in real-world environments (lab → production)
- Deep expertise in ROS / ROS2 and perception system integration
- Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical Engineering, or related field
- 3+ years of experience in computer vision, perception, or robotics AI systems
- Strong programming skills in C++ and Python
- Experience with:
- Computer Vision (3D perception, detection, segmentation, pose estimation)
- Sensor Fusion (LiDAR, cameras, RGB-D)
- Real-time systems and edge AI deployment
- Robotics system integration
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor's degree in Engineering or a related field and 4 years’ experience in Engineering, supply chain, or a related area. Option 2: 6years’ experience in Engineering, supply chain, or a related area.
2 years’ supervisory experience.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Masters: Computer Engineering