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Senior GPU Resource Optimization Specialist
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Santa Clara, California, United States NVIDIA Full timeNVIDIA has been at the forefront of innovation for over two decades. Our creation of the GPU in 1999 not only propelled the PC gaming industry but also transformed modern graphics and parallel computing. Recently, the advent of GPU deep learning has ushered in a new era of artificial intelligence — a pivotal moment in computing history. At NVIDIA, we pride...
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Santa Clara, California, United States NVIDIA Full timeWe are currently seeking a Lead Architect for GPU System Performance Optimization. The NVIDIA Platform Architecture team is in search of exceptional computer architects who possess a genuine enthusiasm for GPU-enhanced deep learning, data analysis, and high-performance computing. This role is pivotal in designing and developing the forthcoming generation of...
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Santa Clara, California, United States Apple Full timeEnergy Optimization Engineer for GPU TechnologiesLocation: Santa Clara, California, United StatesDepartment: HardwareAre you passionate about developing sophisticated solutions to intricate challenges? Within our Silicon Technologies division, you will contribute to the design and production of our next-generation, high-performance, energy-efficient...
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GPU development engineer
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Santa Clara, United States TekWissen ® Full timeJob Title: GPU development engineerWork Location: Santa Clara, CA 95054Duration: 9 Months Work Type: Contract Job Type: OnsitePay Rate: $57.79 - 86.69/Hourly/W2Overview: TekWissen Group is a workforce management provider throughout the USA and many other countries in the world. This Client is an American multinational semiconductor company based in Santa...
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GPU Cluster Performance Engineer
2 months ago
Santa Clara, United States Advanced Micro Devices , Inc. Full timeOverview: 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....
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Lead GPU System Architect
4 days ago
Santa Clara, California, United States NVIDIA Full timeWe are currently seeking a Lead GPU System Architect to join our dynamic GPU team.NVIDIA's innovation in graphics and parallel computing is a cornerstone of our success, allowing us to deliver unparalleled performance in graphics processing. We are continually exploring avenues to enhance our GPU architecture and uphold our leadership position in the...
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Senior GPU Memory Architect
1 month ago
Santa Clara, United States Nvidia Corporation Full timeWe are now looking for a Senior GPU Memory Architect. NVIDIA is seeking a motivated architect to work with a team in solving complex problems while optimizing performance, area, complexity, and power on leading-edge silicon processes. This GPU memory architecture team creates new, innovative products tailored to NVIDIA's world-changing solutions for...
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Senior GPU Memory Architect
1 month ago
Santa Clara, California, United States Nvidia Corporation Full timeWe are now looking for a Senior GPU Memory Architect. NVIDIA is seeking a motivated architect to work with a team in solving complex problems while optimizing performance, area, complexity, and power on leading-edge silicon processes. This GPU memory architecture team creates new, innovative products tailored to NVIDIA's world-changing solutions for...
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GPU Library Development Engineer
4 days ago
Santa Clara, United States US Tech Solutions Full timeDuration: 12 months contract Job Description: · This position is for an experienced engineer with GPU programming and optimizations skills, with a proven ability to analyse GPU codes and delivery of highly parallel solutions. · You will be part of a team developing and tuning a computational geometry application for Clients CPU and GPU platforms....
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GPU Library Development Engineer
1 month ago
Santa Clara, United States US Tech Solutions Full timeDuration: 12 months contract Job Description: · This position is for an experienced engineer with GPU programming and optimizations skills, with a proven ability to analyse GPU codes and delivery of highly parallel solutions. · You will be part of a team developing and tuning a computational geometry application for Clients CPU and GPU...
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GPU Developer Advocate
3 months ago
Santa Clara, United States NVIDIA Full timeHigh Performance Computing (HPC) and Artificial Intelligence (AI) are key markets for NVIDIA. Researchers and scientists actively embrace GPU programming to accelerate their workloads and research. To help them onboard to GPUs, NVIDIA is leading a series of GPU hackathons and bootcamps in partnership with national laboratories, universities and enterprises....
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Senior Compiler Optimization Engineer
3 months ago
Santa Clara, United States NVIDIA Full timeWe are looking for an experienced Senior Compiler Optimization Engineer for an exciting role in our Compute Compiler Team. We deliver features and improvements to CUDA and other compute compilers to better realize the potential of NVIDIA GPUs for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving...
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Senior GPU ML Performance Engineer
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Santa Clara, California, United States AMD Full timeJOIN AMD AND MAKE A DIFFERENCEAt AMD, we are dedicated to revolutionizing lives through our advanced technology, enhancing our industry, communities, and the global landscape. Our vision is to create exceptional products that propel next-generation computing experiences, serving as the foundation for data centers, artificial intelligence, personal computing,...
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Senior AI GPU Compiler Engineer
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Santa Clara, United States AMD Full timeWHAT 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...
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Deep Learning Software Engineer
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Senior GPU System Software Engineer
1 month ago
Santa Clara, United States NVIDIA Full timeNVIDIA 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...
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Santa Clara, California, United States Nvidia Full timeSenior Software Engineer, GPU Communications and NetworkinglocationsUS, CA, Santa Claratime typeFull timejob requisition idJR1972306NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of...
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Santa Clara, United States Nvidia Full timeSenior Software Engineer, GPU Communications and NetworkinglocationsUS, CA, Santa Claratime typeFull timejob requisition idJR1972306NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of...
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AI - GPU System Architect
1 month ago
Santa Clara, United States AMD Full timeWHAT 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...
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Senior Platform Software Engineer, AI Server
2 months ago
Santa Clara, United States Nvidia Full timeSenior Platform Software Engineer, AI Server - GPUlocationsUS, CA, Santa ClaraUS, Remotetime typeFull timejob requisition idJR1980965NVIDIA’s 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 deep learning —...
GPU Computing Capacity Optimization Engineer_
2 months ago
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 address, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today As a member of the GPU AI/HPC Infrastructure team, you will provide leadership in the design and implementation of ground breaking GPU compute clusters that run demanding deep learning, high performance computing, and computationally intensive workloads. In this role we seek an expert to optimize the Capacity management and allocation in GPU Compute Clusters. You will help us with the strategic challenges we encounter in maximizing and optimizing our usage of all datacenter resources including compute , storage, network and power. You will help build methodologies, tools and metrics to enable effective resource utilization in a heterogeneous compute environment, and assist with growth planning across our global computing environment. What you'll be doing: + Building and improving our ecosystem around GPU-accelerated computing including developing large scale automation solutions + Supporting our researchers to run their flows on our clusters including performance analysis and optimizations of deep learning workflows + Diagnosing customer utilization deficiencies and job scheduling issues + Building automation, tools and metrics to help us increase productive utilization of resources + Collaborating with the scheduler team to improve scheduling algorithms + Root cause analysis and suggest corrective action for problems large and small scales + Finding and fixing problems before they occur What we need to see: + Bachelor’s degree in Computer Science , Electrical Engineering or related field or equivalent experience. + Minimum 5+ years of experience designing and operating large scale compute infrastructure. + Experience analyzing and tuning performance for a variety of AI/HPC workloads. + Working knowledge of cluster configuration managements tools such as Ansible, Puppet, Salt. + Experience with AI/HPC advanced job schedulers, and ideally familiarity with schedulers such as Slurm , K8s, RTDA or LSF + Familiarity with container technologies like Docker, Singularity, Shifter, Charliecloud + Proficient in Python programming and bash scripting + Experience with AI/HPC workflows that use MPI Ways to stand out from the crowd: + Experience with NVIDIA GPUs, Cuda Programming, NCCL and MLPerf benchmarking + Experience with Machine Learning and Deep Learning concepts, algorithms and models + Proficient in Centos/RHEL and/or Ubuntu Linux distros + Familiarity with InfiniBand with IBOP and RDMA as well as u nderstanding of fast, distributed storage systems like Lustre and GPFS for AI/HPC workloads + Familiarity with deep learning frameworks like PyTorch and TensorFlow NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you. The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits (vidia.com/en-us/benefits/) . NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
