Amazon is looking for a Computer Vision & Automation Engineer to design and deploy intelligent automation solutions in global fulfillment networks. The role involves integrating computer vision, edge computing, and automation systems to enhance operational intelligence and equipment performance. The ideal candidate will work closely with scientists and engineers to translate AI capabilities into scalable systems. This position is part of the Science & Advance Concepts Team, which focuses on optimizing material handling operations and driving innovation.

• 3+ years of manufacturing equipment development experience, or a Master's degree in computer science or electrical engineering.
• 5+ years of hardware engineering experience.
• 3+ years of systems engineering experience, or a Bachelor's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field.
• Experience with video and image processing and compression algorithms and standards, computer vision and/or machine learning.
• Experience with industrial control systems, both hardware and software.
• Experience in complex problem solving, and working in a tight schedule environment.
• Experience working with and configuring sensors and edge compute devices in industrial environments.
• Hands-on experience with cameras, sensors, embedded/edge computing platforms, or IIoT systems.
• Experience with complex automated material handling equipment, packaging technologies, and systems and high-speed manufacturing.
• Experience in creating products and services with hardware and software integrated.
• Experience building complex software systems involving deep learning, machine learning and computer vision.
• Experience in embedded wireless systems, or experience in developing and deploying LLMs in production on AI acceleration hardware.
• 5+ years of hardware design and validation of components, subsystems and systems experience.
• Experience owning end-to-end programs to drive results.
• Master’s or PhD in mechanical, industrial engineering, operations, or a related STEM field.
• Experience developing and supporting hardware/software systems across the product life cycle.
• Background in robotics, mechatronics, or physical AI systems.

• Lead end-to-end deployment of computer vision-enabled automation systems across material handling environments.
• Design and develop integrated systems combining cameras, sensors, edge compute devices, and control interfaces.
• Bridge AI/ML models with physical systems by enabling reliable data capture and processing pipelines.
• Own hardware-software integration, including device selection and network configuration.
• Work closely with scientists to productionize computer vision models.
• Develop and execute system validation strategies including test plans and performance benchmarking.
• Integrate with controls systems to enable closed-loop automation.
• Design for safety, privacy, and reliability, implementing necessary safeguards.
• Collaborate with vendors and internal teams to prototype and scale custom hardware and automation solutions.
• Drive standardization of architectures and engineering best practices for intelligent automation systems.
• Artifact and set the standard for engineering excellence within the organization.
• Communicate ideas effectively to achieve the right outcomes and build consensus.
• Travel up to 30% throughout North America, which may include consecutive weeks of travel.

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.