AI Researcher (Rendering)
Tavus$160,000 - $250,000/year
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
InternshipExperience Level
InternshipJob Type
UnknownVisa
Technology, AI, GraphicsIndustries
Requirements
- Must be actively enrolled in a university pursuing a PhD degree in Computer Science, Electrical Engineering, Machine Learning, or related field for the entire duration of the internship
- Strong programming skills in Python, C++, CUDA and deep learning frameworks (PyTorch, JAX, TensorFlow)
- Strong research background with publications at top conferences (SIGGRAPH, NeurIPS, ICML, ICCV, CVPR, etc.)
- Excellent communication and collaboration skills
- Research experience in at least one of the following areas: Diffusion Models for Image/Video Generation, Text-to-Image/Video Foundation Models, Multimodal Vision-Language Models, Neural Radiance Fields (NeRFs) and 3D Generation, Real-Time Generative AI and Optimization, Computer Vision for Graphics Applications, AI-Powered Content Creation and Synthesis, Transformer Architectures for Visual Data, Physics-Based Simulation with AI, Synthetic Data Generation for Graphics
- Experience with large-scale model training and deployment (plus)
Responsibilities
- Design and implement generative AI algorithms that push the boundaries of real-time graphics and visual content creation
- Develop text-to-image and text-to-video foundation models optimized for interactive graphics applications
- Integrate breakthrough diffusion models and transformer architectures with traditional graphics pipelines to create innovative products
- Pioneer AI-powered content generation techniques for real-time rendering and simulation
- Collaborate with world-class researchers, engineers, and external research partners
- Deliverable results include prototypes, patents, products, and/or publishing original research at top-tier conferences
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What qualifications are required for the PhD Research Intern position?
Candidates must be actively enrolled in a PhD program in Computer Science, Electrical Engineering, Machine Learning, or a related field for the entire internship duration, with strong programming skills in Python, C++, CUDA, and deep learning frameworks like PyTorch, JAX, or TensorFlow, plus a strong research background evidenced by publications at top conferences such as SIGGRAPH, NeurIPS, ICML, ICCV, or CVPR.
What research areas should candidates have experience in for this internship?
The role focuses on candidates with research experience in at least one of: Diffusion Models for Image/Video Generation, Text-to-Image/Video Foundation Models, Multimodal Vision-Language Models, Neural Radiance Fields (NeRFs) and 3D Generation, or Real-Time graphics.
Is this a full-time or part-time internship?
The internship is full-time.
What is the compensation or salary for this PhD Research Intern role?
This information is not specified in the job description.
What qualities make a strong candidate for this NVIDIA research internship?
Strong candidates are strategic, ambitious, hard-working, creative PhD students passionate about visual computing, with excellent communication and collaboration skills, a proven research track record including publications, and experience in relevant AI/graphics areas; experience with large-scale model training is a plus.
NVIDIA
Designs GPUs and AI computing solutions
About NVIDIA
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.
Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees
Benefits
Company Equity
401(k) Company Match
Risks
Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.
Differentiation
NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.
Upsides
Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.
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