NVIDIA’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 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 build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? Cutting edge research relies on cutting edge infrastructure and tools! The NVIDIA Applied Deep Learning Research group is a team of world-class researchers in deep learning. We are passionate about deep learning applied to computer vision, audio, text and other domains, with the goal of improving specific problems encountered in NVIDIA’s products. After building prototypes that demonstrate the promise of your research, we work with product teams to integrate these ideas into products and make the research count.Our research projects require an intense amount of computation, relying on supercomputers and pushing them to their limits. The challenges are ever evolving, and require the infrastructure and tools to continuously evolve and step up to the challenge. These tools are part of the secret sauce enabling the research to evolve. In this position, you will develop and maintain tools that interact with various supercomputers and clusters of compute resources, as well as deep learning workflows. What you'll be doing:Develop and maintain tools that help with execution and monitoring of deep learning workflows in various supercomputersCraft solutions to new problems arising from new needs of research projects, or new compute environments they leverageCollaborate with some of the industries’ leading experts in Supercomputers and Deep Learning research. What we need to see:Pursuing BS, MS, or PhD in Computer Science or Computer Engineering (or equivalent experience)Experience doing development in Python Experience with unix and shell scriptingExcellent interpersonal skillsFlexibility for working in an evolving environment with different frameworks and requirementsSystematic problem-solving approach, coupled with strong communication skills and a sense of ownership and driveAbility to learn quickly and adapt to different platforms as per the need of the projectPassionate about solving hard problems, developing quality solutions/codePassionate about improving efficiency and productivity Ways to stand out from the crowd:Experience with linux system administration and Experience (as user or administrator) with HPC schedulers such as SLURM, LSF Background with deploying and/or using containers (docker or otherwise)Familiarity with the basics of deep learning and Familiarity with CUDA programming and or pytorchBackground deploying compute clusters in AWSExperience developing tools used by others, and maintaining themAre you dedicated, upbeat and dynamic with excellent analytical ability? Are you an engineer passionate and highly motivated about solving complex problems? If so, you may be a perfect fit for NVIDIA!The base salary range is 100,000 USD - 184,000 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.
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