Senior Research Scientist, EDA & AI - Impact & Equity

NVIDIA Corporation; Santa Clara (CA); Sur place; USD 192 000 - 305 000; Plein temps

Avantages offerts par ce poste

Equity

Benefits

Résumé du poste

NVIDIA is seeking a world-class researcher in Santa Clara to advance EDA algorithms, VLSI design methods, and AI-driven optimization on GPU platforms. You will publish in top venues, collaborate with circuits, VLSI, and architecture teams, and drive research into real products and open-source tools.

Requirements include a PhD in CS/EE with 2+ years post-PhD, deep EDA/VLSI knowledge, 5+ years of AI applications, and proven leadership. Competitive base salary with equity and benefits.

Qualifications

• PhD in CS/EE or related field with 2+ years post-PhD research and strong publication record in top EDA/AI/ML venues.
• Deep knowledge in EDA/VLSI and 5+ years applying AI techniques and GPU/accelerator-based computing to large-scale problems.
• 5+ years of software development experience with high-performance computing, parallelism, and optimization.

Responsabilités

• Define and conduct original research across EDA algorithms, VLSI design methodology, and advanced machine learning techniques.
• Innovate in EDA software and algorithms with applications spanning supervised, unsupervised, and reinforcement learning, and GPU-accelerated optimization methods.
• Collaborate cross-functionally with circuit design, VLSI, and architecture teams to translate research into products.
• Publish in premier conferences, present at leading venues, and drive thought leadership.
• Engage with external researchers and diverse internal product teams to amplify research outcomes.

Connaissances

Research excellence

Domain expertise

Programming

HPC & optimization

Team leadership

Communication

Formation

PhD in CS/EE

Outils

GPU acceleration

Description du poste

NVIDIA is seeking a world-class researcher in Santa Clara to advance EDA algorithms, VLSI design methods, and AI-driven optimization on GPU platforms. You will publish in top venues, collaborate with circuits, VLSI, and architecture teams, and drive research into real products and open-source tools.

Requirements include a PhD in CS/EE with 2+ years post-PhD, deep EDA/VLSI knowledge, 5+ years of AI applications, and proven leadership. Competitive base salary with equity and benefits.