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Principal Systems Software Architect

Company: Nvidia
Location: Santa Clara
Posted on: January 15, 2022

Job Description:

We are seeking a Principal Systems Software Architect who is deeply technical, creative and a hands-on expert. You will design, build and deploy high performance, scalable cloud native solutions for AI deployment and inference, which make use of Deep Learning and the latest Machine Learning advancements. You will use your deep understanding in machine learning, data processing, programming languages, distributed systems, multi-threading, operating systems, and cloud services.NVIDIA is building a new category of products by intersecting our prowess in deep learning and computing with industry-leading technologies. You will harness groundbreaking technologies, and build impactful developer tools and platforms that redefines how medical imaging and healthcare gets accelerated using AI. You will be influencing and driving technical advances in both NVIDIA and open source communities focused on bringing AI to medicine.What you'll be doing:Design industry leading software frameworks and SDKs to quickly enable new advancements in frameworks (Pytorch, TensorFlow, TRT) to new GPU accelerated capabilities.Craft highly scalable, optimized AI infrastructure that takes inference to new levels using GPUs and systems.Design highly available infrastructure software that can be connected or integrated to the highest availability systems in healthcare and medical imaging.Design automated testing and micro-services to enable continuous delivery, active learning and federated learning capabilities.Mentor members of the team enabling them to develop their AI, ML skills and understanding.What we need to see:A Masters or PhD Degree in Machine Learning, Computer Science, Computer Engineering (or equivalent experience).10+ years of meaningful experience.Real world machine learning experience on production systems.Hands-on experience developing SaaS/PaaS, distributed enterprise or HPC solutions using microservices, gRPC or high performance APIs that scale out in highly distributed infrastructures.Track record of crafting well-designed solutions and delivering high-quality software on time.Strong self-initiative, interpersonal skills, and adaptability to new technology.Leadership skills guiding, mentoring, and helping other engineers learn good engineering and architecture.Demonstrated skills in a wide variety of languages including: C, C++, C#, PythonExperience with Continuous Integration and Continuous Delivery.Ways to stand out from the crowd:Previous experience of working with fast moving matrix organizations with changing priorities, continuously learning new enabling technologies and driving your impact across teams and organizations.You have deep direct experience with large scale Machine Learning infrastructure, introducing new technologies to production quickly and enabling fast iteration to data scientists and researchers to roll out their algorithms to production with minimum effort and re-usable architecture.Deep and wide distributed computing experience from all layers of system, hardware, system software and applications with understanding of high performance across the whole system.Experience working with open source communities.NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!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 Clara; US, TX, Austin; US, NC, Durham; US, WA, SeattleType: Full time

Keywords: Nvidia, Santa Clara , Principal Systems Software Architect, IT / Software / Systems , Santa Clara, California

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