Embedded Software Development Engineer, Machine Learning Accelerators

Amazon Web Services (AWS) is seeking talented embedded software engineers to join their Machine Learning accelerator team. This role focuses on developing the embedded software stack for custom-designed silicon chips that power AWS Machine Learning servers. You'll work on firmware and software that drives neural network models within SOC's Neuron Cores, collaborating closely with architecture and design teams on hardware/software co-design.

The position offers an opportunity to work with cutting-edge technology at Annapurna Labs, where you'll develop both firmware and custom hardware enabling ML within accelerator chips. The team's mission is to democratize access to industry-leading infrastructure and make deep learning accessible to everyday software developers.

This challenging role requires high standards and constant innovation, working with thought-leaders across multiple technology areas. While prior ML knowledge isn't required, any background in machine learning is beneficial. You'll be part of a fast-paced environment, focusing on improving product performance, quality, and cost-effectiveness.

The compensation is competitive, ranging from $129,300 to $223,600 based on geographic location, plus additional benefits including equity, sign-on payments, and comprehensive medical and financial benefits. This is an excellent opportunity for software engineers passionate about embedded systems, firmware development, and machine learning acceleration to make a significant impact in the industry.