Nvidia is seeking Software Engineering Interns to work on GPU computing AI accelerated computing and graphics technologies powering the AI revolution.

Responsibilities:

• Develop software for GPU-accelerated computing and deep learning frameworks

• Work on CUDA libraries compilers and developer tools

• Collaborate with hardware and software teams on next-gen GPUs

• Optimize performance for AI machine learning and graphics applications

• Contribute to technologies powering autonomous vehicles data centers gaming

Requirements:

• Currently pursuing Bachelor's or Master's in Computer Science Electrical Engineering

• Strong programming skills in C C++ Python CUDA or similar

• Understanding of computer architecture parallel computing GPU programming

• Experience with deep learning frameworks machine learning preferred

• Graduation date between December 2026 and August 2027

Perks:

• Competitive compensation package

• Work on cutting-edge AI and GPU technologies

• Collaborate with world-class engineers and researchers

• Access to latest GPU hardware and development tools

• Strong conversion to full-time engineering roles