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Image Optimization Engineer
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Image Optimization Engineer
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Senior Optimization Engineer
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Senior Optimization Engineer
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Senior Optimization Engineer
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Senior Optimization Engineer
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Senior Compiler Optimization Engineer
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NextPit GmbH San Jose, United StatesSenior Engineer Advanced Photomask Optimization · Location · San Jose, US · Team · Design Engineering and Architecture · Work experience · 2-3 years · Educational background · Physics, Computer Science, Mathematics, Electrical Engineering · Technical field · Software · ...
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Senior Engineer Advanced Photomask Optimization
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Senior Engineer Advanced Photomask Optimization
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Senior Engineer Advanced Photomask Optimization
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Senior Engineer Advanced Photomask Optimization
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Senior ML Training GPU Optimization Engineer
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Sr ML Training GPU Optimization Engineer
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RippleMatch Opportunities Santa Clara, United StatesThis role is with Nvidia. Nvidia uses RippleMatch to find top talent. · About NVIDIA · We are now looking for a Power Optimization and Analysis Engineer – New College Grad NVIDIA prides in having energy efficient products. We believe in continuing to maintain our products' ener ...
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Sr ML Training GPU Optimization Engineer
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Adobe San Jose, United States Full timeOur Company · Changing the world through digital experiences is what Adobe's all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences We're passionate about empowering people to create beautiful ...
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RippleMatch Opportunities Santa Clara, United StatesThis role is with Nvidia. Nvidia uses RippleMatch to find top talent. · About NVIDIA · We are now looking for a Power Optimization and Analysis Engineer - New College Grad NVIDIA prides in having energy efficient products. We believe in continuing to maintain our products' energ ...
GPU Computing Capacity Optimization Engineer - Santa Clara, United States - NVIDIA
Description
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.
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 ) . 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.
NVIDIA is a Learning MachineNVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.
Learn more about NVIDIA .
