Parallel computing Jobs

61 - 80 of 294 Jobs

GPU AI Software Development EngineerJob Title - GPU AI Software Development Engineer

AMD (Advanced Micro Devices)Company Name - AMD (Advanced Micro Devices)

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Boxborough, Massachusetts, USA

Full-time

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellenc

Senior Timing and VF Methodology EngineerJob Title - Senior Timing and VF Methodology Engineer

NVIDIA CorporationCompany Name - NVIDIA Corporation

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Santa Clara, California, USA

Full-time

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to resolve, that only we can seek, and that matter to the world. This is our life's work, to amplify human

Software Engineer 1 / Early Career - U.S. based undergrads need ONLY apply (backend C++/Linux/AWS-S3)Job Title - Software Engineer 1 / Early Career - U.S. based undergrads need ONLY apply (backend C++/Linux/AWS-S3)

NutanixCompany Name - Nutanix

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Durham, North Carolina, USA

Full-time

Software Engineer 1 / Early Career Durham, North Carolina Hungry, Humble, Honest, with Heart. The Opportunity Have you entry level with a bachelor's in computer science and possess a strong curiosity, a passion for building real-world software, and a desire to grow in a collaborative, fast-paced environment? Join us at Nutanix, where you'll be part of the team behind Object Storage - one of many software-defined services platforms Nutanix offers. As part of the NOS team, you'll work on meaningfu

Machine Learning Hardware Performance Engineer, Self-Driving HardwareJob Title - Machine Learning Hardware Performance Engineer, Self-Driving Hardware

Tesla MotorsCompany Name - Tesla Motors

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Austin, Texas, USA

Full-time

Join Tesla's Self-Driving Hardware team to pioneer the next generation of AI accelerators and compute architectures for autonomous vehicles. In this role, you will focus on performance modeling, architectural exploration, and hardware-software co-design to optimize Tesla's custom machine learning silicon. The ideal candidate is an experienced Hardware Performance Engineer, with strong understanding of ML applications, and is comfortable working rapidly in a small-team environment. Responsibilit

On-device ML Performance Infrastructure EngineerJob Title - On-device ML Performance Infrastructure Engineer

Apple, Inc.Company Name - Apple, Inc.

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No location provided

Full-time

The On-Device Machine Learning team at Apple is responsible for enabling the Research to Production lifecycle of cutting edge machine learning models that power magical user experiences on Apple's hardware and software platforms. Apple is the best place to do on-device machine learning, and this team sits at the heart of that discipline, interfacing with research, SW engineering, HW engineering, and products. The team builds critical infrastructure for analyzing latency, memory and numerical cor

Senior Architect, Data Center ModelingJob Title - Senior Architect, Data Center Modeling

NVIDIA CorporationCompany Name - NVIDIA Corporation

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Santa Clara, California, USA

Full-time

Imagine shaping the future of AI and computing at one of the most innovative companies in the world. At NVIDIA, we are redefining industries with our groundbreaking advancements in High-Performance Computing, Artificial Intelligence, and Visualization. Our GPUs, the visual cortex of modern computers, are at the core of revolutionary technologies from AI to autonomous vehicles. Join us in pushing the boundaries of what's possible, enabling extraordinary creativity and discovery, and turning scien

HSIO Functional Validation EngineerJob Title - HSIO Functional Validation Engineer

NVIDIA CorporationCompany Name - NVIDIA Corporation

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Santa Clara, California, USA

Full-time

Machine Learning Compiler EngineerJob Title - Machine Learning Compiler Engineer

Qualcomm TechnologiesCompany Name - Qualcomm Technologies

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San Diego, California, USA

Full-time

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Machine Learning Engineering General Summary: If you're interested in advancing and applying mathematics, programming languages theory, and advanced algorithms to program optimization for cutting-edge machine learning accelerators, then you really want to be talking to us! The Compiler Labs unit in Qualcomm AI Software department is looking for ML Compiler engineers to join our team. We work tactically on im

Senior Circuit Characterization EngineerJob Title - Senior Circuit Characterization Engineer

NVIDIA CorporationCompany Name - NVIDIA Corporation

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Santa Clara, California, USA

Full-time

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life's work, to amplify human

HPC ArchitectJob Title - HPC Architect

CamberCompany Name - Camber

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San Jose, California, USA

Full-time

Job Description HPC Architect San Francisco, California About Camber Camber is on a mission to democratize scientific computing from astrophysics to genomics. Currently, distributed scientific workloads are nearly 100% on-premise, making computation for researchers limited in scope, with long iteration cycles. Our fully managed, infrastructure-free platform allows researchers to deploy on-demand fully managed instances for distributed scientific simulations and data analysis. We re based in San