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Urgent! Research Scientist, Generative AI for Physical AI - PhD New College Grad 2025 Job Opening In Santa Clara – Now Hiring NVIDIA
Are you passionate about pushing the boundaries of AI at the intersection of the digital and physical worlds?
Join our groundbreaking research team as we revolutionize the future of physical AI through groundbreaking generative models.
We are now hiring Research Scientists to join our Cosmos team!
As a Research Scientist specializing in Generative AI for Physical AI, you'll be at the forefront of developing next-generation algorithms that bridge the gap between virtual and physical realms.
You'll work with state-of-the-art technology and have access to massive computational resources to bring your ideas to life.
What you'll be doing:
+ Pioneer revolutionary generative AI algorithms for physical AI applications, with a focus on advanced video generative models and video-language models
+ Architect and implement sophisticated data processing pipelines that produce premium-quality training data for Generative AI and Physical AI systems
+ Design and develop cutting-edge physics simulation algorithms that enhance Physical AI training
+ Scale and optimize large-scale training systems to efficiently harness the power of 20,000+ GPUs for training foundation models
+ Author influential research papers to share your groundbreaking discoveries with the global AI community
+ Drive innovation through close collaboration with research teams, diverse internal product groups, and external researchers
+ Build lasting impact by facilitating technology transfer and contributing to open-source initiatives
What we need to see:
+ PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
+ Deep expertise in PyTorch and related libraries for Generative AI and Physical AI development
+ Strong foundation in diffusion, vision language and reasoning models and their applications
+ Proven experience with reinforcement learning algorithms and implementations
+ Robust knowledge of physics simulation and its integration with AI systems
+ Demonstrated proficiency in 3D generative models and their applications
Ways to stand out from the crowd:
+ Publications or contributions to major AI conferences (ICLR, NeurIPS, ICML, CVPR, ECCV, SIGGRAPH, ICCV, etc.)
+ Experience with large-scale distributed training systems
+ Background in robotics or physical systems
+ Open-source contributions to prominent AI projects
+ History of successful research-to-product transitions
You'll be part of a team that's defining the future of Physical AI, with access to world-class computing resources and the opportunity to work on problems that matter.
Your research won't just live in papers – it will be implemented in real-world systems that push the boundaries of what's possible in AI.
Join us in shaping the future of AI where digital intelligence meets physical reality.
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 a creative and autonomous research scientist with a genuine passion for advancing the state of AI?
If so, we want to hear from you!
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 (https://www.nvidia.com/en-us/benefits/) .
Applications for this job will be accepted at least until November 2, 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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Unlock Your Research Scientist Potential: Insight & Career Growth Guide
Real-time Research Scientist Jobs Trends in Santa Clara, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Research Scientist in Santa Clara, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 49080 jobs in United States and 579 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in Research Scientist roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! NVIDIA is currently hiring and seeking a Research Scientist, Generative AI for Physical AI PhD New College Grad 2025 to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NVIDIA adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Research Scientist, Generative AI for Physical AI PhD New College Grad 2025 Jobs United States varies, but the pay scale is rated "Standard" in Santa Clara. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Research Scientist, Generative AI for Physical AI PhD New College Grad 2025 typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Research Scientist, Generative AI for Physical AI PhD New College Grad 2025 interview at NVIDIA, research the company, understand the job requirements, and practice common interview questions.
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