Amazon Manufacturing Services is looking for a Sr. Process Engineer to enhance manufacturing excellence using AI/ML technologies and advanced process optimization. The role involves bridging manufacturing operations with product engineering and emerging technologies. The team focuses on transforming manufacturing concepts into operational realities, supporting advanced manufacturing and assembly of light industrial equipment. This position offers significant opportunities for shaping manufacturing design standards and scalable solutions.

• Master's degree in electrical engineering, computer engineering, or equivalent.
• Experience in manufacturing, process, or industrial engineering.
• Knowledge of Machine Learning and LLM fundamentals, including transformer architecture and optimization techniques.
• Experience working with interdisciplinary teams to execute product design from concept to production.
• Experience with project management of technical projects.
• Experience implementing a cloud-based technology solution.

• Lead data-driven throughput improvement initiatives across current production lines.
• Conduct bottleneck analysis using simulation and real-world data to identify constraints.
• Execute cycle time reduction projects through AI-optimized process parameters.
• Develop and implement setup optimization strategies to maximize output against existing equipment and labor constraints.
• Apply statistical process control and continuous improvement methodologies enhanced by ML insights.
• Design and optimize automated manufacturing processes including robotic pick-and-place, material handling, and assembly operations.
• Develop control strategies for multi-robot coordination and collaborative automation.
• Implement vision systems, sensors, and data collection infrastructure for AI/ML model training.
• Bridge simulation-to-reality gap by validating digital twin predictions against production performance.
• Build predictive models for throughput optimization, bottleneck identification, and capacity planning.
• Train AI agents to learn optimal manufacturing strategies through simulation before deployment to production.
• Work closely with operations team in NPI and optimization of manufacturing processes, cycle times, and improvement of safety.

• 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.