Amazon Stores
Senior Software Development Manager, AI Robotics
Amazon Stores, San Francisco, California, United States, 94199
Requirements
Must have
Over 10 years of experience in engineering At least 5 years of experience in managing engineering teams Proven ability to oversee multiple projects and teams within an Agile framework Strong programming skills in Python and C, with expertise in developing extensive training infrastructure using PyTorch Familiarity with Isaac Sim, Unity, Unreal, or similar 3D game engines or technologies such as 3D animation and simulation More than 10 years of experience in planning, designing, developing, and delivering infrastructure software Experience collaborating with product or program management teams in research settings Responsibilities
Direct the ML infrastructure team to develop training models and simulation environments for large robotics foundational models focused on reasoning, perception, locomotion, and manipulation Collaborate closely with AI researchers to implement and enhance the training of new model architectures on a significant scale Establish a roadmap and create a physics-based simulation environment for reinforcement learning, closed-loop simulations, and synthetic data generation Create tools for data generation, model experimentation, and continuous integration workflows Company
At Frontier AI & Robotics, we are not just enhancing robotics; we are fundamentally redefining it. Our team is dedicated to building the future of intelligent robotics through innovative foundation models and comprehensive learning systems. We confront some of the most difficult challenges in AI and robotics, from developing advanced perception systems to creating flexible manipulation strategies for complex real-world scenarios. Our unique approach combines ambitious research with practical impact, utilizing Amazons extensive computational resources and rich datasets to train and deploy cutting-edge foundation models. Our efforts cover a wide array of robotics intelligence facets, including multimodal perception and refined manipulation strategies adaptable to diverse environments. We invite you to join us in pushing the boundaries of robotics and to work alongside world-class researchers while witnessing the implementation of your innovative ideas at an unprecedented scale.
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Over 10 years of experience in engineering At least 5 years of experience in managing engineering teams Proven ability to oversee multiple projects and teams within an Agile framework Strong programming skills in Python and C, with expertise in developing extensive training infrastructure using PyTorch Familiarity with Isaac Sim, Unity, Unreal, or similar 3D game engines or technologies such as 3D animation and simulation More than 10 years of experience in planning, designing, developing, and delivering infrastructure software Experience collaborating with product or program management teams in research settings Responsibilities
Direct the ML infrastructure team to develop training models and simulation environments for large robotics foundational models focused on reasoning, perception, locomotion, and manipulation Collaborate closely with AI researchers to implement and enhance the training of new model architectures on a significant scale Establish a roadmap and create a physics-based simulation environment for reinforcement learning, closed-loop simulations, and synthetic data generation Create tools for data generation, model experimentation, and continuous integration workflows Company
At Frontier AI & Robotics, we are not just enhancing robotics; we are fundamentally redefining it. Our team is dedicated to building the future of intelligent robotics through innovative foundation models and comprehensive learning systems. We confront some of the most difficult challenges in AI and robotics, from developing advanced perception systems to creating flexible manipulation strategies for complex real-world scenarios. Our unique approach combines ambitious research with practical impact, utilizing Amazons extensive computational resources and rich datasets to train and deploy cutting-edge foundation models. Our efforts cover a wide array of robotics intelligence facets, including multimodal perception and refined manipulation strategies adaptable to diverse environments. We invite you to join us in pushing the boundaries of robotics and to work alongside world-class researchers while witnessing the implementation of your innovative ideas at an unprecedented scale.
#J-18808-Ljbffr