PhD Research Internship Opportunities at NVIDIA

5 days ago

Santa Clara, California, United States NVIDIA Full time
Join NVIDIA's Research Team as a PhD Intern

We are seeking highly motivated and talented PhD students to join our research team at NVIDIA. As a research intern, you will have the opportunity to work on cutting-edge projects that have a measurable impact on our business.

About the Internship

Our internship program offers a unique opportunity to gain hands-on experience in research and development, working alongside our industry-leading research teams. You will be part of a dynamic and collaborative environment, where you will have the chance to contribute to projects that are shaping the future of technology.

Research Areas
  • Autonomous Vehicles: Research and/or internship experience related to vehicle/robot autonomy is required.
  • Graphics: Research and/or internship experience related to neural rendering, graphics, generative modeling, large language models, human behavior understanding, digital human creation, image-based modeling/rendering, and 3D computer vision is required.
  • Computer Vision and Deep Learning: Research and/or internship experience related to post-training model optimization, efficient architecture design, adaptive/dynamic inference, resource-efficient training and fine-tuning is required.
  • Generative AI: Research and/or internship experience related to foundation models, image generation, video generation, 3D generation, audio generation, diffusion models, multimodality, and video understanding is required.
  • Robotics: Research and/or internship experience related to robot manipulation, robot control, 3D computer vision, physics-based simulation, human-robot interaction, natural language processing, reinforcement learning, sim-to-real learning of robotic policies, end-to-end learning of perception and controls, and agent learning is required.
  • Programming Systems: Research and/or internship experience related to programming systems, distributed computing, parallel computing, large language models, EDA/VLSI, operating systems, compilers, and/or HPC is required.
  • Computer Architecture: Research and/or internship experience related to ASIC and VLSI design techniques, machine learning accelerator approaches, novel digital VLSI circuits, model compression, networking architecture, and hardware-software co-design is required.
  • Hardware: Research and/or internship experience in one or more area of high-performance circuit design: PLLs and clocking, SerDES and high-speed signaling, photonics, SRAMs, power delivery/regulation, security circuits, and high-speed logic is required.
Requirements
  • Currently pursuing a PhD degree within Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • Background in research with publications from top conferences.
  • Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: Python, C, C++, HLSL, CUDA, TensorFlow, PyTorch, Perl, Cadence, Synopsys, HFSS.
What We Offer

Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience. You will also be eligible for intern benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate 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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