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Computer Systems Architect, Platform Architecture

Apple, Inc.

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Cupertino, California, USA

Full-time

Summary Do you have an uncommon desire to seek out and solve exceedingly difficult challenges rather than the easy ones? Do you believe that truly valuable and meaningful accomplishments are the result of pushing the limits of perseverance? Do you believe that a world-class team with relentless drive can surpass even their own high expectations? We do! But we also realize this job isn't for everyone. What we do isn't easy, but you don't take the easy path. Apple's Platform Architecture team is
Posted 10 days ago | Updated 6 hours ago

Enterprise Compute - Senior Product Manager

Qualcomm Technologies

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San Diego, California, USA

Full-time

Company:Qualcomm Technologies, Inc. Job Area:Operations Group, Operations Group > Product Management General Summary: Qualcomm is looking for an experienced Product Management leader to join the Compute Business Unit to help drive Windows PC adoption across the global enterprise segment. This leadership role will develop the product roadmap and strategy to accelerate Windows Snapdragon deployment across Enterprise environments. This includes driving the Enterprise AI initiatives for locally t
Posted 58 days ago | Updated 7 hours ago

Senior Software Engineer, bilic Team

Amazon Development Center U.S., Inc.

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Seattle, Washington, USA

Full-time

Annapurna 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 of AWS. Our org covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. AWS Nitro, ENA, EFA, Graviton and F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe, are some of the products we have deliver
Posted 7 days ago | Updated 5 hours ago

Principal SoC Memory Subsystem Architect

Samsung Electronics America

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Austin, Texas, USA

Full-time

Position Summary Samsung, a world leader in advanced semiconductor technology, is founded on a simple philosophy - the endless pursuit of excellence will create a better world for all. At Samsung Austin Research and Development Center (SARC) and Advanced Computing Lab (ACL), we are building a center of excellence for Intellectual Property (IP) that is applied to high-performance computing devices (mobile, automotive, and other custom market segments) consumed by millions of people around the wo
Posted 60+ days ago | Updated 7 hours ago

Senior Embedded DSP Software Engineer

Qualcomm Technologies

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San Diego, California, USA

Full-time

Company:Qualcomm Technologies, Inc. Job Area:Engineering Group, Engineering Group > Software Engineering General Summary: Qualcomm is looking for software engineers to develop embedded platform software for CPU and DSP/NPU processors and hardware engines comprising its SoC portfolio for mobile, automotive, compute, and other markets. In this role you will utilize your solid foundation in embedded software development, operating systems, and drivers to deploy platform software for complex AI a
Posted 11 days ago | Updated 7 hours ago

AI SW Director of Product Management

Qualcomm Technologies

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San Diego, California, USA

Full-time

Company:Qualcomm Technologies, Inc. Job Area:Operations Group, Operations Group > Product Management General Summary: Directs a comprehensive product strategy with emphasis on h/w & s/w capabilities for artificial intelligence (AI) from product conception and definition through end of life. Functions as a central resource with design, process, manufacturing, quality, test, marketing, and distribution as the product(s) and/or product line(s) move through their lifecycle. Promotes use of new tec
Posted 39 days ago | Updated 7 hours ago

SR Director, Product management AI

Qualcomm Technologies

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Folsom, California, USA

Full-time

Company:Qualcomm Technologies, Inc. Job Area:Operations Group, Operations Group > Product Management General Summary: Job Profile Summary Bachelor's or Master's degree in Computer Engineering, Computer Science, or related field. 12+ years of Product Management or related work experience. Solid understanding of machine learning (ML) models and inferencing techniques on CPU, GPU or NPU - deep neural networks vision models such as Resnet50, MobileNetv3, Yolov3, DeepLabv3, ESRGAN, and Gen AI mode