Role at a glance
- Salary
- $168K – $264.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Ph.D. or equivalent research experience
- Education
- Ph.D. or equivalent research experience in Computer Science/Electrical Engineering/Cognitive Science or related field.
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Role Summary
The Human Performance and Experience team at NVIDIA Research develops AI systems that understand humans and support perception, learning, behavior, and interaction across gaming, robotics, and related applications. The role involves conducting research and collaborating with research and product engineering teams to transition ideas from research into products.
What You'll Do
- Propose, research, prototype and test innovative research ideas.
- Publish at top conferences and patent novel inventions.
- Collaborate with other research team members, external researchers, and mentor interns.
- Create working interactive demonstrations to showcase research ideas.
- Participate in technology transfer with engineers around NVIDIA as ideas "graduate" from research to product.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Ph.D. or equivalent research experience in Computer Science, Electrical Engineering, Cognitive Science, or a related field; excellent track record of publications in top-tier conferences; experience studying human behaviors in related application domains; proficiency with Python, Rust, and/or C++; experience with AI model training and evaluation frameworks such as PyTorch.
Required
- Ph.D. or equivalent research experience in Computer Science/Electrical Engineering/Cognitive Science or related field
- Excellent track record of publications in top-tier conferences
- Experience with studying human behaviors in related application domains such as gaming, driving, interacting with robots, etc.
- Proficiency with Python, Rust, and/or C++
- Experience with AI model training and evaluation frameworks, like PyTorch
Preferred
- Demonstrated public portfolio
- Experience with multi-node, multi-GPU training and inference workflows
- Familiarity with and interest in modern deep learning models, including working with large-scale, multi-modal foundation models
- A track record of applying human behavior models to machine learning applications, or applying machine learning to understand or model...
Original job description
Content provided by the employer
Original job description
Content provided by the employer
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We, the Human Performance and Experience (HPX) team at NVIDIA Research, strive to lead AI innovation by deeply understanding humans. We are looking for individuals who are passionate about advancing AI in gaming, robotics, and more by employing human intelligence and human interaction to shape perception, learning, and behavior. We bridge vision science, HCI, and HRI to create systems that perceive, learn, and collaborate with people safely and effectively. You will be working in a team of research scientists and engineers from varied backgrounds and will closely collaborate with product engineers. Join us in redefining the future of AI and human interaction!
What you'll be doing:
Propose, research, prototype and test innovative research ideas.
Publish at top conferences and patent novel inventions.
Collaborate with other research team members, external researchers, and mentor interns.
Create working interactive demonstrations to showcase your research ideas.
Participate in technology transfer with engineers around NVIDIA as ideas "graduate" from research to product.
What we need to see:
Ph.D. or equivalent research experience in Computer Science/Electrical Engineering/Cognitive Science or related field.
Excellent track record of publications in top-tier conferences (SIGGRAPH, CHI, HRI, ICRA, NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, CoG, ETRA, etc.).
Experience with studying human behaviors in related application domains such as gaming, driving, interacting with robots, etc.
Proficiency with Python, Rust, and/or C++.
Experience with AI model training and evaluation frameworks, like PyTorch.
Ways to stand out from the crowd
Demonstrated public portfolio (e.g. repositories, OSS contributions, notebooks, packages, or technical blog posts with code).
Experience with multi-node, multi-GPU training and inference workflows.
Familiarity with and interest in modern deep learning models, including working with large-scale, multi-modal foundation models (such as recent LLMs, VLMs).
A track record of applying human behavior models to machine learning applications, or applying machine learning to understand or model human behavior.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.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.
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.