The Deep Learning Computer Architecture internship at NVIDIA offers students the chance to work on impactful projects within a leading team focused on accelerated computing. Interns will gain hands-on experience in areas such as GPU and CPU architecture, deep learning, and high-performance computing. This 12-week full-time internship is ideal for strategic and ambitious individuals who are passionate about tackling complex challenges. Candidates will be part of a dynamic environment that values creativity and innovation.

• Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field.
• Anticipated graduation date must be clearly indicated on a resume or CV.
• Course or internship experience related to GPU Architecture, CPU Architecture, Deep Learning, or High-Performance Computing Systems is preferred.
• Familiarity with programming skills and technologies such as C, C++, CUDA, and Deep Learning Frameworks is beneficial.

• Work on projects that have a measurable impact on NVIDIA's business.
• Collaborate with team members to develop solutions in deep learning and computer architecture.
• Engage in performance modeling, profiling, and optimization tasks.
• Contribute to the analysis and development of neural network architectures.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.