NVIDIA Research is seeking a new college grad PhD researcher to lead innovative research at the intersection of AI, GPU computing, and Electronic Design Automation (EDA). This role focuses on advancing EDA algorithms and methodologies while applying deep learning and GPU acceleration to enhance chip design. The position offers a collaborative environment with opportunities to publish research and engage with both internal teams and external researchers. Candidates will be part of a forward-thinking team dedicated to shaping the future of technology.

• PhD in Computer Science, Electrical/Computer Engineering, or related field or equivalent experience.
• Proficiency in at least two of Python, PyTorch, C++, or CUDA.
• Publications in top EDA and AI/ML venues.
• Expertise in EDA algorithms combined with project experience applying machine learning/deep learning to impactful problems.
• Excellent written and verbal communication skills.

• Define and conduct original research across EDA algorithms, VLSI design methodology, and advanced AI techniques.
• Innovate in EDA software and algorithms with applications in various AI techniques.
• Apply deep learning and GPU computing to improve ASIC and VLSI design tool flows.
• Collaborate cross-functionally with circuit design, VLSI, and architecture teams.
• Publish and present original research at conferences and events.
• Collaborate with external researchers and internal product teams.

• 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.