Amazon is looking for a Computer Vision & Automation Engineer to design and deploy intelligent automation solutions in global fulfillment networks. This role emphasizes physical AI and autonomous systems, requiring a hands-on engineer with expertise in hardware systems and automation environments. The ideal candidate will work closely with scientists and engineers to translate AI capabilities into scalable systems. The position involves leading the development of sensor-driven automation solutions and ensuring their integration across various layers.

• 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 an 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 in high-speed manufacturing.
• Experience in creating products and services with integrated hardware and software.
• Experience building complex software systems involving deep learning, machine learning, and computer vision.
• Experience in embedded wireless systems or developing and deploying LLMs in production on AI acceleration hardware.
• 5+ years of hardware design and validation 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 field trials.
• Integrate with controls systems to enable closed-loop automation.
• Design for safety, privacy, and reliability, including implementation of safeguards.
• Collaborate with vendors and internal teams to prototype and scale custom hardware and automation solutions.
• Drive standardization of architectures, deployment patterns, and engineering best practices.
• 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.