Embedded Software Development Engineer, Machine Learning Accelerators

Join Amazon's innovative team developing embedded software for custom silicon chips powering AWS Machine Learning servers. As an Embedded Software Development Engineer, you'll work on the critical software stack that drives neural network model execution within SOC's Neuron Cores. This role combines firmware development with hardware acceleration, offering a unique opportunity to work at the intersection of embedded systems and machine learning.

The position involves close collaboration with architecture and design teams for hardware/software co-design, developing both firmware and custom hardware to enable ML capabilities in accelerator chips. You'll be part of Amazon's mission to democratize access to industry-leading ML infrastructure, working with cutting-edge technology in Annapurna Labs.

This challenging role requires high standards and continuous innovation to improve product performance, quality, and cost. You'll work alongside thought-leaders in multiple technology areas, with opportunities to learn about ML and accelerator technology. Prior ML knowledge is helpful but not required, as comprehensive training is provided during onboarding.

The compensation package includes a base salary ranging from $129,300 to $223,600 depending on location, plus potential equity, sign-on payments, and comprehensive benefits. You'll be working with a team dedicated to making deep learning accessible to everyday software developers while pushing the boundaries of what's possible in hardware-accelerated machine learning.