• Job Description

  Req#: JR1976398

  NVIDIA is seeking software engineers for its Deep Learning Algorithms team to develop and commercialize Artificial Intelligence solutions to diverse real-world problems related to NLP, CV, Speech, Text, Recommendation Systems, etc. Academic and commercial groups around the world are using GPUs to revolutionize AI and data analytics, and to power data centers. Come and help the team building the software which will be used globally. You will have a unique opportunity to interact with the scientific community to implement and improve the latest AI algorithms.

  If you have a good understanding for deep learning and a strong algorithmic background, with exposure to computer architecture and performance, then this role may be a great fit for you, as you will be interacting with internal partners, users, and members of the open source community to analyze, define and implement highly optimized AI algorithms. The scope of these efforts includes a combination of implementing new algorithms, performance/accuracy tuning and analysis, defining APIs, analyzing functionality coverage, and other general software engineering work. Ability to work in a dynamic, product-centric environment with excellent interpersonal skills are required, to be successful in this role. If the idea of pushing the boundaries of state-of-the-art research and development excites you? Are interested in getting exposure to the entire DL SW stack? Then come join the team that build GPU-accelerated DL platform used worldwide.

  What you’ll be doing:

  • Develop algorithms for deep learning, data analytics, machine learning, or scientific computing.

  • Construct and curate large problem specific datasets.

  • Analyze and improve performance of GPU implementations.

  • Collaborate with team members and other partners.

  • Keep up with the latest DL research and collaborate with diverse teams (internal and external to NVIDIA), including DL researchers, hardware and software engineers.

  • Travel to conferences or visit customers occasionally.

  What we need to see:

  • PhD or Masters or equivalent experience.

  • Experience in Computer Science, Artificial Intelligence, Applied Math.

  • Strong Mathematical fundamentals and algorithms skills or experience.

  • Excellent programming, debugging, performance analysis, and test design skills.

  • Ability to work independently and manage individuals’ R&D efforts.

  • Good communication and documentation habits.

  Ways to stand out from the crowd:

  • Deep Learning experience.

  • Professional experience with DL Frameworks (e.g. TensorFlow, PyTorch, MXNet).

  • Excellent C/C++ and Python programming skills and GPU programming (CUDA or OpenCL).

  • Experience doing performance analysis and tuning and Exposure to HW architecture, ideally accelerators, and to numerical software.

  • Project management tools (e.g. JIRA, Git, Microsoft Project).

  NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you!

  The base salary range is 100,000 USD - 224,250 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.

  #deeplearning

• About the company

  9637389 Nvidia Corporation is an American multinational technology company incorporated in Delaware and based in Santa Clara, California.

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