NVIDIA

NVIDIA

Posted via Workday

Research Scientist, Electronic Design Automation - New College Grad 2026

Posted Aug 5, 2026

Role at a glance

Salary
$168K – $264.5K/yr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Education
PhD in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience)

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Role Summary

AI-generated

NVIDIA Research is seeking a new college graduate PhD researcher to conduct research at the intersection of AI, GPU computing, and Electronic Design Automation. The role applies deep learning and GPU acceleration to ASIC and VLSI design and collaborates with research, design, architecture, and product teams to translate findings into product impact.

What You'll Do

  • Define and conduct original research across EDA algorithms, VLSI design methodology, and advanced AI techniques
  • Innovate in EDA software and algorithms using supervised, unsupervised, reinforcement learning, agentic AI systems, and GPU-accelerated...
  • 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

Generated from the employer's posting. Verify important details before applying.

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Qualifications

PhD in a relevant field; proficiency in at least two of Python, PyTorch, C++, or CUDA; publications in top EDA and AI/ML venues; expertise applying machine learning/deep learning to EDA problems; technical communication experience.

Required

  • 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 publications and project experience applying machine learning/deep learning to impactful problems
  • Excellent written and verbal communication skills
  • Experience communicating technical work, such as academic presentations or poster sessions

Original job description

Content provided by the employer

NVIDIA Research is searching for a world-class new college grad PhD researcher to drive groundbreaking research at the intersection of AI, GPU computing, and Electronic Design Automation (EDA). Deep learning and GPU acceleration are transforming the future of chip design, and this role offers the opportunity to shape that future. Widely considered to be one of the technology world’s most desirable employers, NVIDIA has some of the most forward-thinking and hardworking people in the world inventing the future for us. Are you a creative and collaborative researcher interested in seeking new challenges? If so, we want to hear from you!

What you'll be doing:

  • Define and conduct original research across EDA algorithms, VLSI design methodology, and advanced AI techniques.

  • Innovate in EDA software and algorithms, with applications spanning supervised, unsupervised, reinforcement learning, agentic AI systems, as well as GPU-accelerated optimization methods.

  • Apply deep learning and GPU computing to improve ASIC and VLSI design tool flows.

  • Collaborate cross-functionally with circuit design, VLSI, and architecture teams, ensuring research translates into real-world product impact.

  • Publish and present your original research, speak at conferences and events

  • Collaborate with external researchers and a diverse set of internal product teams.

What we need to see:

  • PhD in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience)

  • Strong Programming & Systems Skills: Proficiency in at least two of Python, PyTorch, C++, or CUDA

  • Publications in top EDA and AI/ML venues

  • Domain & Technical Expertise: Expertise in EDA (e.g., synthesis, physical design, design verification, timing) algorithms combined with publications and project experience applying machine learning/deep learning (supervised, unsupervised, RL, agentic AI) to impactful problems.

  • 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 June 7, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.