System Design Engineer Jobs in Santa Clara, CA: 68 Job Openings

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also ...

DESCRIPTIONAmazon's Elastic Compute Cloud (EC2) team is responsible for enabling customers to run their critical workloads in the cloud. Amazon EC2 providers customers ability to ...

Eurofins MET Laboratories is searching for an Automotive EMC Test Engineer to work in Santa Clara, CA. Eurofins-MET Laboratories, Inc. is one of the Nation's leading laboratories for the testing and certification of electronic and ...

DESCRIPTIONThe Call Analytics team at Amazon Connect delivers call insights using Amazon Machine Learning services to our customers. We work on high volume, complex call routing and ...

Job Description Senior Software Engineer - Front End Santa Clara, CA Hybrid We are seeking a passionate, results-oriented, engineer to solve our next generation challenges and define our ...

DESCRIPTIONJob summaryThe Titan Labs data pipeline team is responsible for extraction, processing and delivery of large scale of data (in Trillion tokens, Petabytes of data) for ...

As the technology firm that created the mobile world and a rich history of 145 years of building ground-breaking solutions and innovative technologies supported by 60,000+ patents, Ericsson has made it our business to make a mark. When ...

DESCRIPTIONAt AWS AI, we want to make it easy for our customers to deploy machine learning models on any endpoint in the cloud. Just as SageMaker provides a complete set of services to ...

Company Description Eurofins Scientific is an international company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and ...

DESCRIPTIONInterested in Machine Learning? Amazon SageMaker (https://aws.amazon.com/sagemaker/) takes away the heavy-lifting normally associated with large-scale Machine Learning ...