Amazon

Senior Engineer Edge AI Infrastructure & Tooling , Device OS

Posted On

Dec. 9, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Software Development

Apply By

Dec. 30, 2025

Job Description

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 and innovative products.

• Investigate and prototype edge computing solutions with AI integration capabilities
• Develop backend integrations for various SoC vendors and AI accelerators
• Build developer tools including profilers, debuggers, model converters, and bench marking suites
• Optimize model deployment workflows and performance for resource-constrained environments
• Create SDKs, APIs, and documentation to enable seamless developer experiences
• Create automated testing frameworks for model accuracy and performance validation
• Collaborate with ML researchers to bridge the gap between research and production
• Work in an Agile/Scrum environment to deliver high quality software
• Establish architectural principles and mentor team members

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.
- 5+ years of non-internship professional software development experience
- Experience in embedded development in C/C++
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- 5+ years in ML tooling and dev/prod infrastructure
- Proven experience working with edge hardware platforms (Qualcomm, MediaTek, NVIDIA Jetson, Apple Neural Engine, etc)
- Experience with edge AI inference frameworks (PyTorch, ExecuTorch, TensorFlow Lite, ONNX Runtime, etc.)
- Proficiency with model optimization techniques: quantization (INT8, FP16, mixed-precision), pruning, knowledge distillation
- Experience with model formats (.tflite, .onnx, .pt, .trt, FlatBuffers) and conversion pipelines
- Experience deploying and tuning LLMs using techniques like LoRA, QLoRA, and instruction tuning
- Strong coding skills with the ability to implement custom optimized kernels

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