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Careers at NVIDIA
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Senior Research Scientist, Simulation Technology - New College Grad 2025

$160,000 - $258,750/year
31 Oct 2025
Santa Clara, CA, USA
Verified by Turrior

Content + Source + Freshness • 14 Dec 2025 • 95% confidence

90 / 100

Offer value

Exceptional opportunity with high base salary, innovative research, and potential to work on impactful AI solutions.

  • Competitive salary: $160,000–$258,750/year
  • Opportunity to work on groundbreaking AI research
  • Collaborate with global experts in the tech industry
Pros
  • Attractive salary range ($160,000–$258,750/year)
  • Work in cutting-edge fields like machine learning and computer vision
  • Collaborate with industry leaders in a respected tech company
Cons
  • High expectations for independent research and publication
  • Preferential treatment for candidates with niche skills may limit opportunity
  • Highly competitive application process

Who it's for

Recent Graduate / Early Career • Office

Good fit
  • Recent PhD graduates in AI or related fields
  • Candidates eager for high-impact research roles
  • Professionals keen on collaboration and innovation
Not recommended for
  • Applicants without significant programming experience
  • Those unwilling to engage in high-level research
  • Candidates looking for administrative or non-research roles

Motivation fit

Desire to innovate in AI and simulation technologiesDrive to publish and share researchPassion for collaborative work within advanced fields

Key skills

Generative models expertisePython and PyTorch proficiencyResearch publication capabilities
Score: 90/100 AI verified analysis

About the job

NVIDIA is searching for a world-class Research Scientist to join our growing Spatial Intelligence research team. The ideal candidate will be conducting cutting-edge research at the intersection of Machine Learning, Computer Vision and Computer Graphics, and working alongside top experts in these fields. With incredible resources in AI, graphics and robotics, you will be able to impact, contribute and advance these exciting domains. Topics include but are not limited to AI for simulation, 3D Deep Learning, DL for animation, content generation, transfer learning, domain adaptation, computer vision, and medical imaging. With its unique open culture, NVIDIA is one of the best industry labs to do AI research.

What you will be doing:

  • Develop and optimize diffusion-based generative models for high-fidelity, controllable image/video synthesis.

  • Design scalable architectures that reduce inference latency and enable real-time or interactive generation workflows.

  • Contribute to fundamental research and publish in top-tier conferences such as CVPR, NeurIPS, ICLR, ICCV, or SIGGRAPH.

  • Collaborate across teams to integrate research into simulation systems, digital avatars, robotics, and other NVIDIA platforms.

What we need to see:

  • PhD (or equivalent experience) in Computer Science, Computer Vision, Machine Learning, or a related field.

  • Strong foundation in generative models.

  • Experience with Python and PyTorch, and large-scale model training workflows.

  • Ability to conduct independent research and communicate findings clearly.

  • Passion for innovation in vision AI and a drive to see ideas move from research to impact.

Ways to stand out from the crowd:

  • Skills in efficient model architectures and efficient implementations.

  • Sharp mathematics skills.

Image recognition and speech recognition — GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA’s GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for deep learning, and NVIDIA is increasingly known as “the AI computing company.”

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. Are you creative, autonomous and have a passion to impact the world? If so, apply today!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 258,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2025.

NVIDIA is committed to fostering a diverse 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.

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