Join the our team and analyze system performance for datacenter applications. Be a key player to the most exciting computing hardware and software. Contributing to the latest breakthroughs in performance scale-out for artificial intelligence and GPU computing. We are looking for someone to work with us on designing and building the next high performance computing system.We work on the latest accelerated computing hardware platforms and deep learning software. You will engage with OS, container technologies, GPU compute, and systems specialists to lead, develop and bring up large scale performance projects for deep learning with performance in mind. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!What you'll be doing:Work with multiple teams to understand and process data from multiple sources. Build project objectives and requirements from discussions and create an implementation plan.Prototype and develop processes for ingesting and assessing data, including techniques for visualizing it quickly.Identify trends of interest, link changes to recorded events, and craft conclusions and help the team make intelligent data based decisions.Explore methods to describe data and predict events using numerical methods and machine learning.Build high level visuals from multiple data sources to illustrate trends, events, and anomalies. Where possible search for application and infrastructure improvement opportunities.Collaborate and communicate on projects by concisely summarizing status. Welcome and engage on feedback to improve work.What we need to see:3+ years of experience in managing multi-faceted projects that span multiple teams.Ability to multitask effectively in a dynamic environment.Action driven with strong analytical skills.Desire to be involved in multiple diverse and creative projectsStrong teamwork and interpersonal skills.Strong and concise verbal and written communication skills.Python/Bash programming/scripting experience.Experience with Linux based operating systems.Experience applying machine learning techniques to data and knowledge of deep learning frameworks.BS in Engineering, Mathematics, or Computer Science (or equivalent experience). MS or PhD desirable.Ways to Stand out in the Crowd:Solid understanding of accelerated computing software stacks for both deep learning training and inference.Experience with high performance or large scale computing environments.Experience using and handling state-of-the-art Cloud and container-based Enterprise computing architectures.Familiarity with Splunk or another data management tool.Background with scheduling and resource management systems for clusters.Exposure to visualization techniquesNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!The base salary range is $84,000 - $166,750. 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 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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