Senior Software Engineer, AI Infrastructure - Deep Learning


: $126,470.00 - $187,710.00 /year *

Employment Type

: Full-Time


: Information Technology

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We are now looking for a Senior Deep Learning Software Engineer with technical leadership experience! Come join 's Autonomous Vehicles team to develop state of the art Deep Learning infrastructure for our advanced autonomous driving platform. Together, we will help advance NVIDIA's capacity to build and deploy leading solutions for a broad range of AI-based applications.

What you'll be doing:

  • Be responsible for developing Deep Learning software infrastructure for large scale image and video processing tasks and leading major technical projects for the team. The range of applications you'll work on includes: automotive driver assistance, autonomous navigation and robotics.
  • Be a part of a dynamic product and customer oriented team, thus excellent communication skills are required. Your expertise, creativity and leadership will help bring the future of self-driving cars to our doorsteps.
  • What we need to see:

  • 10+ years of relevant work experience, including technical leadership experience.
  • You have a BS or MS in Computer Science, Electrical Engineering or equivalent experience.
  • Track record of successful technical leadership on major, impactful deep learning projects.
  • Track record of elevating teams and increasing their velocity by helping others.
  • Experience mentoring junior developers.
  • Expertise in developing production level deep learning infrastructure and/or a deep understanding of the underlying concepts.
  • Good understanding of highly parallel compute, storage and software architectures.
  • Excellent C/C++ and Python programming with top software design skills.
  • Experience with any of the deep learning frameworks: Tensorflow, PyTorch, Caffe?, Keras, ...
  • Experience working with multi-node/distributed training, data loading and image/video processing.
  • A dedication to bring your work to fruition and see it ship in cars worldwide.
  • Excellent communication and organization skills.
  • Self-motivation, outstanding collaboration with peers and users, customer-oriented mindset.
  • Ways to stand out of the crowd:

  • Previous experience of scaling up and optimizing HPC, computer vision or deep learning training pipelines to terabyte scale datasets is a huge plus.
  • Experience with CUDA.
  • Contributions to open-source DNN frameworks.
  • Prior experience using machine learning / neural networks to solve problems in image or video analysis.
  • With highly competitive salaries and a comprehensive benefits package, Nvidia is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and talented people in the world working with 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. If you're a creative and autonomous computer scientist with a real passion for HPC and computer vision, 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
    Associated topics: .net, application, back end, c#, develop, developer, devops, software development engineer, software programmer, sw * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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