Senior Research Scientist, AI Accelerator Design and VLSI

We are now looking for a Senior Research Scientist!

NVIDIA is seeking a Senior Research Scientist to drive groundbreaking research at the intersection of AI HW/SW Co-Design, AI Hardware Accelerator Architecture, IC Design Methodology, and VLSI Design.  Ideal candidates will have a broad perspective across areas including machine learning fundamentals, quantization and numerical methods for machine learning model optimization, digital VLSI circuits for computer arithmetic, high-productivity VLSI design and verification methodologies including applications of generative AI to hardware design, AI hardware micro-architecture, and VLSI methodology and implementation.

What you'll be doing:

• 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 state-of-the-art tools and methodologies to automated ASIC and VLSI design tool flows.

• AI HW/SW Co-Design:  Research and develop creative and innovative numerical methods for quantization, sparsity, or tensor decomposition grounded in computer arithmetic fundamentals and 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

What we need to see:

• PhD in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience), with 3+ years of post-PhD research experience and a strong record of impactful publications in top circuit, architecture, EDA, or AI/ML venues; with a proven ability to set research direction and translate ideas into tools or products.

• Domain & Technical Expertise: Deep knowledge and 3+ years of post-PhD research experience in either VLSI (e.g., digital VLSI circuits and chip design methodologies), computer architecture, and/or numerical algorithms for AI model HW/SW co-design.

• VLSI Implementation Skills:  5+ years of experience in hardware design with proficiency with modern EDA tool flows.

• Programming & Systems Skills: 5+ years of experience in software tool development with proficiency in at least two of Python/PyTorch, C++, SystemVerilog, or CUDA.

• Leadership & Collaboration: experience in leading research projects or teams, with a track record of mentoring junior scientists or interns, driving cross-functional initiatives with circuits/VLSI/architecture groups, and fostering collaborations with academia or industry.

• Communication & Impact: Excellent written and verbal communication skills, with demonstrated experience presenting at top conferences; ability to influence both technical and non-technical audiences.

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!

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.