ML Architect, SSG Science

Amazon Devices is an inventive research and development company that designs and engineer high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health Wellness, Amazon Echo & Astro products. This is an exciting opportunity to join Amazon in developing its next generation SOC's for the machine learning enabled consumer products. We are looking for exceptional engineers to join the SOC development team and help develop the next generation of chips based on a revolutionary architecture.

Key job responsibilities:

• Analyze deep learning workloads and map them to Amazon's Neural Edge Engine
• Propose and implement new hardware architectures or improvements to our existing ones, that enable future ML workloads to run efficiently on our accelerator
• Collaborate closely with compiler engineers, model developers, hardware architects and product teams to build the best ML centric hardware and software solutions for our devices
• Deliver hardware architecture, microarchitecture and other design collateral for our next generation ML accelerators
• Build tools for modeling and performance evaluation to enable power, performance, cost options and trade-offs
• Work with full stack silicon designers to realize the architecture on silicon

This role offers an opportunity to work on cutting-edge technology in the field of machine learning hardware and contribute to the development of next-generation consumer products. The successful candidate will be at the forefront of innovation, working with a team of talented engineers to shape the future of Amazon's devices.