NVIDIA Corporation

Research Scientist, AI Accelerator Design and VLSI - New College Grad 2026

NVIDIA Corporation • $168K — $264K *
Santa Clara, CA 95051In-Person
Enterprise Technology
Less than 5 years of experience
Reposted 6 days ago
Job Overview by Ladders

Qualifications

  • PhD in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience)
  • Experience in hardware design with modern EDA tool flows
  • Proficiency in at least two of Python, PyTorch, C++, SystemVerilog, or CUDA
  • Publications in top circuit, architecture, and/or AI/ML venues
  • PhD research experience in VLSI, computer architecture, and/or numerical algorithms for AI model HW/SW co-design
  • Excellent self-motivation, creativity, and collaboration skills
  • Strong written and verbal communication skills with experience in technical presentations

Responsibilities

  • Contribute to novel research in AI accelerator hardware design
  • Research and innovate in ASIC and VLSI design techniques
  • Apply machine learning and generative AI in automated VLSI design flows
  • Develop novel numerical methods for quantization, sparsity, and tensor decomposition
  • Collaborate on research prototype testchip development
  • Work with AI researchers and hardware teams
  • Publish and present original research at conferences

Benefits

  • Equity participation opportunities
  • Diversity-focused work environment
  • Access to cutting-edge technology and innovative projects
  • Support for continuous learning and growth
  • Collaboration among leading experts in the field
Full Job Description
NVIDIA Research is searching for a world-class new college grad PhD researcher 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 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 innovative 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)
  • VLSI Implementation Skills: Experience in hardware design with proficiency with modern EDA tool flows.
  • Programming & Systems Skills: Proficiency in at least two of Python, PyTorch, C++, SystemVerilog, or CUDA
  • Publications in top circuit, architecture, and/or AI/ML venues
  • Domain & Technical Expertise: 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.
  • Excellent self-motivation, a high degree of creativity, and a passion for research, collaboration skills and the ability to work effectively within a research team.
  • Excellent written and verbal communication skills, with proven experience communicating technical work (e.g., academic presentations, poster sessions); ability to synthesize and explain complex technical concepts.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 9, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Manufacturing & Automotive
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ
NVDA
* Ladders Estimates

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