AI Accelerator & VLSI Research Scientist New Grad

NVIDIA Corporation; Santa Clara (CA); Vor Ort; USD 168.000 - 265.000; Vollzeit

Benefits dieser Stelle

Equity

Benefits

Zusammenfassung

NVIDIA Research is seeking a world-class PhD researcher to drive groundbreaking work at the intersection of AI HW/SW Co-Design, AI hardware accelerator architecture, IC design methodology, and VLSI design. Collaborate across teams to create testchips and present findings at conferences. Base salary ranges with equity and benefits.

Applications accepted through Feb 9, 2026. Ideal candidates will have a PhD in CS/EE, strong EDA/toolflow experience, and proficiency in Python, PyTorch, C++,

Qualifikationen

• PhD in CS/EE or related field.
• Experience with hardware design and modern EDA tool flows.
• Proficiency in at least two of Python, PyTorch, C++, SystemVerilog, or CUDA.

Aufgaben

• AI Accelerator Hardware: Contribute to novel research advancing the state-of-the-art in AI accelerator design.
• VLSI: Research creative and innovative ASIC and VLSI design techniques and/or novel digital VLSI circuits.
• Apply machine learning, generative AI, and innovative tools and methodologies to automated ASIC and VLSI design tool flows.
• AI HW/SW Co-Design: Research and develop creative numerical methods for quantization, sparsity, or tensor decomposition for digital VLSI circuits.
• Collaborate on the development of research prototype testchips.
• Collaborate with AI researchers and hardware team members in research and product teams.
• Publish and present your original research, speak at conferences and events.

Kenntnisse

Python

PyTorch

C++

SystemVerilog

CUDA

Ausbildung

PhD in Computer Science, Electrical/Computer Engineering, or related field

Tools

EDA tool flows

Jobbeschreibung

NVIDIA Research is seeking a world-class PhD researcher to drive groundbreaking work at the intersection of AI HW/SW Co-Design, AI hardware accelerator architecture, IC design methodology, and VLSI design. Collaborate across teams to create testchips and present findings at conferences. Base salary ranges with equity and benefits.

Applications accepted through Feb 9, 2026. Ideal candidates will have a PhD in CS/EE, strong EDA/toolflow experience, and proficiency in Python, PyTorch, C++,