Come join us to accelerate deep learning networks on Az1/Az2 Neural Edge processors and beyond. We deliver solutions to offload Speech, Computer Vision and Generative AI workloads on a range of devices from Blink Smart Home camera to Echo Show line of products.

We are looking for a talented and passionate software engineer to be part of an exciting technology creation team at Amazon. You will have an enormous opportunity to make a large impact on the design, architecture, and implementation of deep learning technologies embedded into consumer products used every day, by people you know. The position provides an unique opportunity to contribute and make an impact from hardware design stage followed by pre and post silicon development as well as productizing it on consumer devices.

In this role you will be work along side partner science teams to develop the compiler infrastructure and lower deep learning workloads to heterogeneous device backends. You will also partner up with peer science teams to innovate on model quantization and compression techniques for efficient execution on hardware.

Key job responsibilities
- Architect and develop software stack for deep learning accelerator
- Develop Compiler passes for graph ingestions, optimizations and partitioning.
- Develop backend code generation capabilities across heterogeneous platforms
- Profile, analyze and optimize system level performance, develop new tooling where necessary
- Participate in design reviews, API development, and documentation
- Successfully collaborate with hardware, software, applied science and product teams to onboard more and more user experiences to be powered by Deep Learning accelerator.
- Mentor and provide guidance to junior engineers