Minimum qualifications: Bachelors degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 15 years of experience in semiconductor design or design verification. 6 years of experience in people management, developing employees. Experience
Meta is seeking highly skilled Design Engineers to join our team. In this role, you will contribute to the development of advanced technology solutions, including machine learning and network acceleration. You will collaborate with researchers and engineers to
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,
C/C++ Hardware / Software Co-Design SDE, 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 component of
Data Scientist - Survey Design, Data Annotation, and Machine Learning Evaluation Cupertino, California, United States Machine Learning and AI Apple is where individual imaginations gather together, committing to the values that lead togreat work. Every new product we build,
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 component of our
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 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 component of our hardware and software to create best-in-class machine learning
Cupertino, California, United States Hardware At Apple we believe our products begin with our people. By hiring a diverse team, we drive creative thought. By giving that team everything they need, we drive innovation. By hiring
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 lie
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 centers, including
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
Description 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 centers
Sr MLA Design Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that power today’s AI workloads in datacenters worldwide. As a member of the Cloud-Scale Machine Learning
Description 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 component of our hardware and software to create best-in-class
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 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 component of our hardware and software to create best-in-class machine learning
Description 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. As an SDE in the pre-silicon team, you will be responsible for driving the
About Zipline Zipline is the world’s largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build,
Req ID: 138675 Region: Americas Country: USA State/Province: California City: San Jose Summary We are seeking a high-impact, visionary Senior Principal AI Engineer to architect, design, and oversee the next generation of our enterprise hardware intelligence platform.