SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
Custom machine learning chips are at the heart of our Trainium machine learning instances, and we invite you to build them with us!
As an SDE in the pre-silicon team, you will be responsible for driving the pre-silicon hardware/software co-development for our machine learning chips.
You will work with architecture, design and emulation teams to build new silicon functionality.
You will write bare-metal software to verify the end-to-end functionality of the SoC and the functionality and performance of different subsystems in the SoC.
If you have a solid background in embedded software, system development or chip design, come join us!
Custom machine learning chips are at the heart of our Trainium machine learning instances, and we invite you to build them with us!
As an SDE in the pre-silicon team, you will be responsible for driving the pre-silicon hardware/software co-development for our machine learning chips.
You will work with architecture, design and emulation teams to build new silicon functionality.
You will write bare-metal software to verify the end-to-end functionality of the SoC and the functionality and performance of different subsystems in the SoC.
If you have a solid background in embedded software, system development or chip design, come join us!