Sr Hardware Development Manager, Amazon Industrial Robotics

As a Sr Hardware Development Manager, you will be responsible for developing complex computing and firmware systems that power our robotic platforms. You will lead a team of engineers focused on system architecture, firmware development, and embedded systems integration while implementing robust development processes and technical standards., * Lead a team of hardware, firmware, and embedded systems engineers

• Implement computing architecture standards and firmware development practices
• Contribute to technical roadmaps for next-generation robotics computing platforms
• Design and implement robust, scalable firmware solutions
• Execute development processes for safety-critical embedded systems
• Collaborate with robotics, controls, and software teams to deliver integrated solutions
• Support architecture decisions for complex robotics systems
• Implement firmware development strategies
• Ensure reliable, maintainable, and scalable embedded solutions
• Follow technical standards for robotics computing platforms
• Drive innovation in real-time computing and control systems

Hardware Development, Industrial Robotics, Industrial Management, Automation, Control Systems, Robotics, Artificial Intelligence (AI), Mechanical Design, Human Interaction, Hardware Development

Amazon is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon”s scale. We”re building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what”s possible in robotic dexterous manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models.