Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox,
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox,
Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe,
Amazon is seeking an experienced C/C++ engineer in Cupertino to join Annapurna Labs, a leader in hardware/software co-design. The role includes developing firmware for machine learning systems using custom silicon solutions, collaborating with design teams, and
Amazon is looking for a Hardware Engineer for their Machine Learning Acceleration team based in Cupertino, CA. You will be responsible for defining, designing, and validating next-generation ML chips and server integration. This position involves optimizing hardware
Hardware Engineer - ML Acceleration, Annapurna Labs Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time
Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators,
Annapurna Labs (U.S.) Inc. in Cupertino, CA seeks an experienced Design Verification Engineer to build the next generation of cloud server platforms. You will verify hardware and software solutions to ensure they meet required functionality, and
Lead SDE C/C++ Hardware/Software Co-Design, Machine Learning Acceleration Systems Annapurna Labs stands at the forefront of hardware/software co-design, leading innovation not just within Amazon Web Services (AWS) but across the entire industry. We design and build every
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
Annapurna Labs in Cupertino, CA is seeking an experienced C/C++ engineer to join our embedded software team, developing bare metal firmware for neural network model execution on our custom ASIC ML accelerators. You will work at
Annapurna Labs, part of Amazon, is seeking an experienced C/C++ engineer to join our embedded software team in Cupertino, CA. You will develop bare metal firmware for neural network model execution on our custom ML accelerator
Senior Manager, Finance AI Acceleration Office Visa is seeking a passionate, authentic, and execution-oriented professional to join the Finance AI Acceleration Office as a Senior Manager, reporting to a Senior Director within Finance. The FAAO is responsible for
Education Strategy And Operations Sales Acceleration Lead Education Strategy And Operations Sales Acceleration Lead Google for Education helps schools and institutions transform teaching and learning through the use of Googles technology, including Workspace for Education, Chromebooks, and Gemini.
Amazon Annapurna Labs is seeking a Sr SOC Verification Engineer to verify custom SOC designs and mentor junior engineers. You will integrate IPs, develop testbenches, and drive rigorous coverage for quality silicon. Role requires 8+ years
Sr. Hardware Engineer - ML Acceleration, Annapurna Labs 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
ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries. Custom SoCs
Custom 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 design and optimization of hardware in our data
Snarkify is looking for a Senior GPU Performance Engineer to optimize GPU-based algorithms for Zero-Knowledge Proof applications. You will collaborate with the engineering team to enhance the performance of cryptographic systems. A Bachelor’s degree in Computer
DescriptionOur Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are used to power today’s AI workloads in datacenters all around the world. As a member of the Cloud-Scale Machine Learning Acceleration, you’ll collaborate with