As an AI technical program manager in NVIDIA's AI4DC team, you will be at the forefront of revolutionizing datacenter operations through AI. Join our team of expert data scientists in this innovative and collaborative environment, driving significant advancements in AI and ML. Most of our product are inbound. Over the last two decades, GPU acceleration became the standard for scientific computing, with the fastest supercomputers in the world combining CPUs and GPUs. The emergence of Generative AI has created the larger GPU datacenters ever, creating the strongest ever supercomputers.

　　These datacenters are sophisticated and thus challenging to operate. Yet, as an analogy from autonomous vehicle industry, we strive to automate it as much as possible. Therefore, today we are building an outstanding data scientist team to tackle these challenges. The emerging field of Artificial Intelligence for IT operations (AIOps https://arxiv.org/pdf/2304.04661.pdf) strives to apply AI with the big data generated by IT Operations processes, particularly in cloud infrastructures, to provide practical insights with the primary goal of improving availability. There are a wide variety of problems to address, and multiple use-cases, where AI capabilities can be used to improve operational efficiency. We categorize the key AIOps tasks as - incident detection (e.g. via Anomaly Detection), failure prediction, root cause analysis and automated actions.

　　What You'll Be Doing:

　　Guide cross-functional teams to deliver innovative AI/ML solutions.

　　Manage projects from conception to deployment, ensuring their success via POC development and execution and seamless integration into NVIDIA products.

　　Build collaborative relationships and align projects with company goals, communicate project deliverables and their contribution for building a greater vision.

　　Integrate end-user feedback into project development.

　　Balance innovation and practicality in project management.

　　What We Need to See:

　　B.S.c or M.Sc. in Computer Science, Data Science, AI, or a related field or equivalent experience.

　　12+ years in data science and machine learning.

　　Strong capabilities in managing complex enterprise projects.

　　Excellent collaboration and presentation abilities.

　　Ways to Stand Out from The Crowd:

　　Achievements in AI and ML: Show significant accomplishments in these fields.

　　Successful program or product management in the field of AI/ML.

　　Demonstrate expertise in engaging with various stakeholders.

　　Strategic Leadership: Exhibit leadership skills within complex organizational frameworks.

　　Background in Networking, HPC, Distributed Computing.

　　NVIDIA is committed to encouraging 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 Machine

　　NVIDIA 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 .