Deep Learning Computer Architect - New College Grad 2026

Benefits

• of the proposed features.
• What we need to see: MS or PhD degree in computer science, computer architecture, electrical engineering or related field or equivalent experience. 2+ years of relevant experience in at least a few of the following relevant areas is required in your work history: Computer architecture , including GPU and system level architecture ; Performance analysis and optimization; Experience with LLM workloads, including performance tuning considerations such as parallelization and fusion strategies;` Experience with core deep learning kernels such as matrix multiply , attention, and communication convolution Programming fluency with C++ and ideally Python Experience with GPU computing (CUDA) Experience with deep learning frameworks like PyTorch Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction.
• Today, a self-driving car powered by AI can meander through a country road at night and find its way.
• An AI-powered robot can learn motor skills through trial and error.
• This is truly an extraordinary time.
• The era of AI has begun.
• NVIDIA is widely considered to be one of the technology world’s most desirable employers.
• We have some of the most forward-thinking and hardworking people in the world working for us.
• If you're creative, autonomous and love a challenge, we want to hear from you! Come, join our DL Architecture team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.​ # LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
• The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.
• You will also be eligible for equity and benefits .
• Applications for this job will be accepted at least until June 5, 2026.
• This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes.
• 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.