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NVIDIA Santa Clara, United StatesSenior Performance Engineer, Deep Learning and High Performance Computing page is loaded · Senior Performance Engineer, Deep Learning and High Performance Computing · Apply · locations · US, CA, Santa Clara · time type · Full time · posted on · Posted 3 Days Ago · job re ...
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Senior Performance Engineer, Deep Learning and High Performance Computing - Santa Clara, United States - NVIDIA
Description
We are now looking for a Senior Performance Engineer focused on Deep Learning (DL) & High Performance Computing (HPC) to join our team.
Our team is responsible for generating benchmark data across a rapidly growing catalog of Deep Learning & HPC applications on Nvidia and as well as competitive products.
The data that we collect drives marketing and sales collateral as well as engineering studies for current and future products.
In some instances, we write scripts that improve the teams ability to collect data through automation and designing efficient processes for testing a wide variety of applications and hardware.
You will have the opportunity to work with multi-functional teams and in a dynamic environment where multiple projects will be active at once and priorities may shift frequently.
As a senior engineer, you will lead and guide the team through some of these projects.NVIDIA builds the most advanced data center GPUs in world that are utilized in a growing number of computing areas ranging from life sciences to deep learning to quantum chemistry.
NVIDIA strives to deliver the best possible performance, which allows researchers and scientists to do more world-changing work than ever before.
Today, we are increasingly known as the AI computing company. We are looking to grow our company and build our teams with the smartest people in the world. Join us at the forefront of technological advancement.What youll be doing:
Plan and execute GPU performance benchmarking across a wide range of HPC and DL frameworks and applications across on-prem, cluster, and cloud server platforms.
Aggregate, analyze, and generate written and visual reports with the testing data for internal sales, marketing, SW, and HW teamsDevelop Python scripts to automate the benchmarking of test applicationsPerform competitive analysis of GPU and CPU productsWork with internal engineering team to triage performance issuesAssist with the development of tools and processes that improve our ability to perform automated testingLead team in exploring and integrating new testing functions.
eg LLMs, GenAIGuide and mentor junior engineersWhat we need to see:Bachelor of Science degree in Engineering or Computer Science or equivalent experience.8+ years of experienceExcellent programming and debugging skills in a scripting language such as Python or Unix shellAdvanced knowledge using Linux based systemsProficiency in compiling software from source code, including debugging errors encounteredKnowledge of deep learning neural networks; how they work and familiarity with various DL frameworksExperience using GPU-enabled HPC applications such as LAMMPS, GROMACS, Amber, RTM, etcExcellent English verbal and written interpersonal skillsExcellent data analysis skills and the ability to summarize findings in a written reportFamiliarity using a container platform such as Docker or SingularityWays to stand out from the crowd:Experience with GPU/CPU benchmarking on cloud solutions from AWS, GCP, AzureGPU programming experience in CUDA, OpenACC, or OpenCLFamiliarity with software compilers such as GNU, Intel Composer, or PGIPrevious experience with benchmarking computer clustersWe have some of the most forward thinking and hardworking people in the world working for us and our best-in-class engineering teams are rapidly growing.
We are building a team that will help shape the future of data center computing.If you are passionate about new technologies, care about improving efficiency and quality, and want to be at the forefront of AI & HPC, we would love for you to join us.
The base salary range is 164,000 USD - 310,500 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.
#deeplearningSummaryLocation:US, CA, Santa ClaraType:
Full time
Senior Performance Engineer, Deep Learning and High Performance Computing professionals in Santa Clara
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Silas Jones
Senior Full Stack Developer