NVIDIA Internship | Software Intern – Deep Learning Accelerator

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NVIDIA Internship | Software Intern – Deep Learning Accelerator. Interested Candidates can go through the details and apply using the link provided at the bottom of the Post.

About NVIDIA

NVIDIA is a prominent technology company known for its innovative solutions in graphics processing units (GPUs) and artificial intelligence (AI). Founded in 1993, NVIDIA has become a leading provider of high-performance computing technologies, catering to a wide range of industries, including gaming, data centers, automotive, and professional visualization. With a strong focus on research and development, NVIDIA continuously pushes the boundaries of what is possible in visual computing, delivering cutting-edge GPU architectures and software frameworks. The company’s commitment to excellence has earned it a reputation for providing industry-leading solutions that power advanced graphics, accelerate scientific discoveries, and enable breakthroughs in AI applications. NVIDIA’s dedication to driving technological advancements has solidified its position as a key player in shaping the future of computing.

NVIDIA Internship 2023

Company nameNVIDIA
Websitewww.nvidia.com
Job RoleSoftware Intern – Deep Learning Accelerator
Work LocationBengaluru, India
Job TypeInternship
ExperienceNew College Graduate
QualificationM. tech/BTech student in Computer Science or E&C
BatchNot Mentioned
Package7 LPA (Expected)

Job Description


NVIDIA is currently seeking Systems Software Interns to join its Deep Learning teams. In this role, your responsibilities will encompass the development, verification, and maintenance of compilers and software drivers for the upcoming generation of NVIDIA deep learning hardware. Collaborating with a team of specialists, you will contribute to advancing NVIDIA’s position in addressing real-time challenges within the autonomous driving sector.

This role presents various opportunities, including engagement with cutting-edge software/hardware platforms and DL algorithms supporting autonomous driving initiatives. The position is based in Bangalore, Karnataka, and involves close collaboration with an international team of engineers and customer-facing business units. Depending on your skills, interests, and our requirements, tasks may range from algorithmic design, coding, and software testing to contributions related to our verification infrastructure.

Your responsibilities will include:

  1. Designing and implementing compiler and systems software algorithms to address specific challenges in the realm of deep learning.
  2. Independently leading and conducting small research tasks, along with reporting and analyzing results.
  3. Designing and maintaining performance and precision modeling.
  4. Working on the testing and enhancement of our software by applying best software practices.
  5. Providing support to our automotive and embedded product teams when required.

Qualifications we are looking for:

  1. Currently pursuing M.Tech/BTech in Computer Science or Electronics & Communication.
  2. A strong passion for deep learning/AI with awareness of the latest academic developments.
  3. Completion of courses in machine learning, deep learning, probability theory, and algorithms.
  4. Analytical thinking, a penchant for elegant solutions, proficiency in mathematical tools and algorithms, and adeptness in solving numerical problems.
  5. Programming experience in C/C++ and Python.
  6. Familiarity with one or more deep learning frameworks such as ONNX, PyTorch, and TensorFlow.
  7. Exceptional teamwork skills and excellent interpersonal abilities.

Ways to distinguish yourself:

  1. Showcase AI-related projects developed in your free time.
  2. Highlight any academic track record and publications.
  3. Demonstrate experience with embedded systems.

How to Apply?

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  • Ensure that your contact information is correct and up-to-date, and accurately reflect your qualifications and experience.
  • Submitting an application with incorrect or incomplete information could harm your chances of being selected for an interview.

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