3 jobs found in San Diego

Introduction to the job ASML US brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers - the world’s leading chipmakers - to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, the Netherlands, and we have 18 office locations around the United States including main offices in Wilton, CT, Chandler, AZ, San Jose, CA and San Diego, CA. Job Mission We have an exciting opportunity for an experienced technical leader to join Source Research department in San Diego, focusing on conceiving and demonstrating the technologies required for next generations of high-power light sources. Our team has been at the forefront of innovating and...

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Today, more intelligence is moving to end devices, and mobile is becoming a pervasive AI platform. At the same time, data centers are expanding AI capability through widespread deployment of ML accelerators. Qualcomm envisions making AI ubiquitous - expanding beyond mobile and powering other end devices, data centers, vehicles, and things. We are inventing, developing, and commercializing power-efficient on-device AI, edge cloud AI, data center and 5G to make this a reality. We are looking for AI Accelerator Architecture Engineers to drive functional, performance and power enhancements into the HW to enable state of the art training capabilities. AI inference and training systems must scale to a large number of accelerators, servers and racks. Our devices must be designed to scale to handle the largest of today's models....

General Summary: Qualcomm Overview: Qualcomm is a company of inventors that unlocked edge AI and connected computing ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform high performance AI and connected computing potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. Minimum Qualifications: Bachelor's degree in Science, Engineering, or related field and 8+ years of ASIC design, verification, validation, integration, or related work experience. OR Master's degree in Science, Engineering, or related field and 7+ years of ASIC design, verification, validation, integration, or related work experience. OR PhD in Science, Engineering, or related field and 6+ years of ASIC design, verification, validation,...