Senior Software Engineer - Edge AI Platform, Device OS
Amazon.com
Are you passionate about bringing state of the art AI technology to edge devices? Join Amazon's Device OS organization, where we're revolutionizing how AI powers everyday devices. We're seeking exceptional Senior Software Development Engineers who can help us push the boundaries of edge computing and artificial intelligence. This is your chance to shape the future of AI-enabled devices that impact millions of customers worldwide.
Key job responsibilities
As a Sr. Software Development Engineer, you will conceive, design and deliver innovative features for Amazon devices. You will be responsible for architecting and developing software solutions for new confidential products.
• Investigate and prototype edge computing solutions with AI integration capabilities
• Work in an Agile/Scrum environment to deliver high quality software
• Establish architectural principles and mentor team members
• Design and implement unified inference execution frameworks for diverse hardware platforms
• Develop backend integrations for various SoC vendors and AI accelerators
• Optimize model deployment workflows and performance for resource-constrained environments
• Collaborate with cross-functional teams to deliver scalable edge AI solutions
About the team
The Device OS Team builds Edge AI/ML frameworks enabling partners to launch applications, services, and devices customers love. We develop unified inference platforms that connect advanced AI models with diverse hardware ecosystems across multiple SoC platforms. Our infrastructure and tooling empower developers to deploy, optimize, and monitor high-performance AI models on edge devices.
Key job responsibilities
As a Sr. Software Development Engineer, you will conceive, design and deliver innovative features for Amazon devices. You will be responsible for architecting and developing software solutions for new confidential products.
• Investigate and prototype edge computing solutions with AI integration capabilities
• Work in an Agile/Scrum environment to deliver high quality software
• Establish architectural principles and mentor team members
• Design and implement unified inference execution frameworks for diverse hardware platforms
• Develop backend integrations for various SoC vendors and AI accelerators
• Optimize model deployment workflows and performance for resource-constrained environments
• Collaborate with cross-functional teams to deliver scalable edge AI solutions
About the team
The Device OS Team builds Edge AI/ML frameworks enabling partners to launch applications, services, and devices customers love. We develop unified inference platforms that connect advanced AI models with diverse hardware ecosystems across multiple SoC platforms. Our infrastructure and tooling empower developers to deploy, optimize, and monitor high-performance AI models on edge devices.
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