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We are now looking for a Senior Performance Software Engineer for Deep Learning Libraries! Do you enjoy tuning parallel algorithms and analyzing their performance? If so, we want to hear from you! As a deep learning library performance software engineer, you will be developing optimized code to accelerate linear algebra and deep learning operations on NVIDIA GPUs. The team delivers high-performance code to NVIDIA's cuDNN, cuBLAS, and TensorRTlibraries to accelerate deep learning models. The team is proud to play an integral part in enabling the breakthroughs in domains such as image... more ->
NVIDIA's invention of the GPU in 1999 fueled 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 - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." We're looking to grow our company, and form teams with the most inquisitive people in the world. Join us at the forefront of technological advancement. Are you ready to change... more ->
We are now looking for a Senior Deep Learning Software Engineer, DLSim! NVIDIA is seeking a Deep Learning Software Engineer to contribute to the creation of a compiler-oriented simulation infrastructure that swiftly assesses the forthcoming AI-accelerating GPU hardware and software advancements. The DLSim Teams' core mission is to deliver full-stack simulation infrastructure for deep learning applications across a spectrum of GPUs. We actively collaborate with architecture, software, product, and research teams to shape and refine the strategic roadmap of DL hardware and software. What you'll... more ->
Minimum qualifications Bachelor's degree in a relevant field, or equivalent practical experience. 5 years of experience in program management. 5 years of experience in cloud computing emerging technologies or related technical fields. Preferred qualifications Master's degree, PhD, or equivalent experience in Engineering, Computer Science, or other technical related field. 5 years of experience managing cross-functional and/or cross-team projects. 5 years of experience in Software Engineering, Software Infrastructure Engineering, Security, Big Data and Analytics, or Cloud Networking.... more ->
130 5th Ave (22130), United States of America, New York, New YorkSenior Engineer - Generative AI Product Engineering (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in... more ->
We are now looking for a Senior Tegra System Software Architect! Do you want to be a part of the Artificial Intelligence Revolution? Would you like to work with world-class systems architects and deep learning professionals to define the next generation CPUs and System on Chips? NVIDIA is developing processor and system architectures that are at the forefront of accelerating machine learning, building data centers, and enabling other high-performance computing applications. We are architecting the most advanced CPUs and SoC's in the world for these applications and are looking for software... more ->
Minimum qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience. 4 years of experience working in a hardware engineering technical environment, or 3 years of experience with an advanced degree. Preferred qualifications Master's or PhD degree in Electrical Engineering, Computer Engineering, Physics, or a related field. 1 year of experience in technical leadership. About the job Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it... more ->
Job Description Oracle is a global leader in cloud services and enterprise software. Our mission is to help people see data in new ways, discover insights, unlock endless possibilities. As part of our commitment to supporting veterans' transition into civilian careers, we are offering a paid internship opportunity in our Solution Engineering (SE) Organization (NAA Services Solution Engineering Organization - FinSrv, CME, ProSrv, TTL, E&C, Energy). This internship aims to provide veterans and military spouses with valuable experience in the technology industry, specifically in solution... more ->
Job Description The SaaS Continuity Engineering team is responsible for the design and build of the systems and services that enables Oracle to deliver industry-leading availability and performance objectives for Oracle's SaaS services. The team architects and develops high-availability and service continuity solutions across the entire stack - infrastructure, database, platform, and application services - and all the dependent components. The engineering innovations enable SaaS services to be available to customers without any disruptions even during large-scale incidents. We are building... more ->
Job Description Oracle has formed a new organization - Oracle Health Applications & Infrastructure (OHAI), dedicated to product strategy and development for improvement of healthcare using modern cloud native technology build on Oracle Cloud Infrastructure (OCI). One of the focus areas of OHAI is to modernize, improve and reimagine Millennium healthcare platform using AI/ML, specifically generative AI. Millennium applications team in OHAI is responsible for reimagining, conceiving, and enhancing clinical applications using OCI's cloud native AI/ML infrastructure for patients and clinicians.... more ->
Center 3 (19075), United States of America, McLean, VirginiaSenior Engineer - Generative AI Product Engineering Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud... more ->
201 Third Street (61049), United States of America, San Francisco, CaliforniaSenior Engineer - Generative AI Product Engineering Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in... more ->
201 Third Street (61049), United States of America, San Francisco, CaliforniaSenior Engineer - Generative AI Product Engineer Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public... more ->
NYC 299 Park Avenue (22957), United States of America, New York, New YorkLead Engineer - Generative AI Product Engineering (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our... more ->