Senior Manager, AI Infrastructure – Deep Learning

NVIDIA
NVIDIA

Job Overview

We are now looking for a Senior Manager, AI Infrastructure.

is hiring leaders to scale up and build the next generation of its AI infrastructure in areas such as data ingestion, campaigns, curation and management; evaluation at scale for AV perception systems, and AV system debugging and triaging. You will need to have strong technical skills, a deep understanding of cloud technologies, orchestration & automation systems, data centers and cloud architecture, as well as excellent communication and planning skills. You will need to demonstrate management and leadership skills. Together, we will build the software 2.0 cloud platform for one of the most exciting problems of our time: autonomous vehicles. Then we will apply it to other applications such as medical imaging, data science, genomics and more.

What you’ll be doing:

  • Build, lead and manage a team of full-stack, backend, cloud, big data engineers focused on developing complete solutions to manage 10PB+ datasets for self-driving cars

  • Drive architects, designers, engineers to build and operate key pieces of a complete infrastructure to manage large-scale datasets, from ingestion to user consumption, enabling users to carry out data querying+mining jobs, labeling jobs, etc.

  • Collaborate with multiple teams at NVIDIA as well as external customers and the open source community to identify new features of libraries and lead the developers in definition, implementation as well as productization of those features

  • Apply software development processes, adapting to an agile environment and overlook the activities of your team that range from defining the public APIs, performance tuning and analysis, implementing new algorithms, and other general software engineering work.

  • Develop roadmaps, perform scoping and software development schedules.

  • What we need to see:

  • BS, MS, or PhD in Computer Science, Computer Engineering, Mathematics, Physics, or related field
  • 5+ or more years of experience in leading/managing a software development team in agile environment as well as performance sensitive and/or real-time software and customer facing software products.
  • 10+ or more years of relevant experience in software design, including debugging, performance analysis, and testing designs.
  • Highly proficient in big data, cloud, web service technologies (e.g. Hadoop, Spark, Kubernetes, etc.)
  • Experience developing large-scale data management systems (PB+) and serving dozens of users/data scientists
  • Highly motivated with strong communication skills, you have the ability to work successfully with multi-functional teams and coordinate effectively across organizational boundaries and geographies. A history of mentoring engineers is a plus.
  • With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us and our engineering teams are growing fast in some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence. If you’re a creative and autonomous computer scientist with a real passion for deep learning, data engineering, distributed systems and parallel computing, 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.#deeplearning

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