Nvidia Software Engineering Intern Core Computer Vision - Fall 

United States, California 

645405597

• Develop Computer Vision pipelines for AI applications (Python, C++, CUDA)

• Profile and optimize

• Performance analysis: identification of performance bottlenecks and theoretical limits

• Propose and implement performance optimizations

• Validate and debug Computer Vision pipelines

• Design and implement validation tooling

• Troubleshoot functional issues

• Contribute to large codebases combining custom C++ and Python with distributed architectures (microservices, Kubernetes, Triton) to deliver computer vision at scale.

• Work in direct collaboration with a team of experienced engineers

• Pursuing MS or PhD in Computer Science, Computer Engineering, or related area

• At least one of the following courses: Operating Systems, Computer Architecture or Embedded Systems

• Strong experience with C/C++ and Python

• Previous exposure to GPGPU (CUDA, OpenCL, GLSL) ormultithreaded/multi-processprogramming (POSIX threads, OpenMP, TBB, IPC)

• Good software engineering fundamentals (source control, testing/validation, containerization)

• Experience with performance analysis and optimization

• Passionate about classical and machine-learning based computer vision

• Experience with advanced CUDA development

• History of multi-disciplinary creativity and innovation (for instance experience with hardware & software projects in robotics)

You will also be eligible for Intern