Soc Device Driver Engineer Machine Learning Accelerators jobs at Amazon in United States, Cupertino
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Perform physical design for Amazon's machine learning custom silicon solutions. Participate in various aspects of physical design: full chip floorplanning, circuit analysis, power/clock distribution, timing optimization, place and route, power...
DESCRIPTIONAs a member of the Cloud Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of Hardware in our data centers including technologies such as AWS...
DESCRIPTIONCustom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud Scale Machine Learning Acceleration team you’ll be responsible for the...
DESCRIPTIONYou’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help...
Collaborate with vendors/manufacturers to evaluate new hardware and software features. Create implementations plans for incorporating them into the network. Automate optical test plans and qualify optical modules. Collaborate with vendors/manufactures...
DESCRIPTIONAnnapurna Labs was a startup company acquired by AWS in 2015, and is now fully integrated. If AWS is an infrastructure company, then think Annapurna Labs as the infrastructure provider...
DESCRIPTIONKey job responsibilitiesYou'll help develop and improve distributed training capabilities in popular machine learning frameworks (PyTorch and JAX) using AWS's specialized AI hardware. Working with our compiler and runtime teams,...
Perform physical design for Amazon's machine learning custom silicon solutions. Participate in various aspects of physical design: full chip floorplanning, circuit analysis, power/clock distribution, timing optimization, place and route, power...
Amazon in the United States, Cupertino is looking for a SOC Device Driver Engineer Machine Learning Accelerators to join our rapidly growing Tech Industry. Our Tech Industry is constantly evolving to meet the needs of consumers and businesses with cutting-edge innovation.
As a SOC Device Driver Engineer Machine Learning Accelerators, you will possess a deep understanding of SOC, hardware, embedded software, and machine learning systems. Your primary goal will be to develop and implement necessary tools and techniques to increase the velocity of the design, test, and deployment of our SOC ML accelerator solutions. You'll also help design and develop the firmware for our ML accelerator design.
You will be an integral part of our team and will collaborate cross-functionally to create and improve our ML-Accelerator platform. You'll use your expertise in embedded software coding and debugging to improve our SOC performance. Your experience with developing device drivers in U-boot, Linux, and Winodws, and debugging boot-up and memory issues, will also be invaluable.
In addition, your ability to navigate and research complex ML chip architecture and development boards will be important. You should also have strong experience with software and LTE development such as SASL, neural networks and different ML accelerators (GPU, FPGA, etc).
We’re looking for someone who is self-motivated, innovative, and passionate about developing cutting-edge technologies that can change the way our world works. If you are eager to become an integral part of the team creating our groundbreaking Machine learning accelerators, apply today at Expoint and join us on this exciting journey.