NVIDIA Research is looking for PhD-level students to join as research interns, focusing on innovative research at the intersection of AI, GPU computing, Formal Methods, and Electronic Design Automation (EDA). This internship provides an opportunity to influence the future of chip design through AI and GPU acceleration. Interns will engage in various research areas, including EDA algorithms and reinforcement learning techniques. The role emphasizes collaboration with teams in circuits, VLSI, and architecture to develop impactful EDA software and algorithms.

• Pursuing a PhD in Electrical Engineering, Computer Engineering, Computer Science, or related fields.
• Publications in leading EDA or AI conferences on AI for EDA, Formal Methods, or GPU-accelerated EDA.
• Excellent programming skills in rapid prototyping environments such as Python; C++ and parallel programming (e.g., CUDA) is a plus.
• Expertise in EDA algorithms combined with publications and project experience applying AI to impactful problems.
• Excellent self-motivation, creativity, and passion for research.

• Apply AI and GPU acceleration to chip design workflows.
• Research and develop innovative EDA software and algorithms.
• Collaborate with circuits, VLSI, and architecture team members in research and product teams.
• Plan to publish and present original research.

• 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.