Nvidia NVIDIA Internships PhD Research 

United States, Texas 

273761623

society—from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and createOur work istruly unique. Part science. Part art. Completely rewarding. Every breakthrough helps shape what comes next.

looking for students pursuingPhD degree within a relevant or related field.

Potential Research Areas for Internships Include:

Autonomous Vehicles

• Research and/or internshipexperiencerelated to the following areas could berequired:Vehicle/RobotA

• Research and/or internshipexperiencerelated to the following areas could berequired:NeuralRendering,Graphics,GenerativeModeling,LargeLanguageModels,HumanBehaviorUnderstanding,DigitalHumanCreation,ImageBasedModeling/Rendering, 3DComputer Vision

Computer Vision and Deep Learning

• Research and/or internship experience related to the following areas could berequired:Post-TrainingModelOptimization (Pruning,Quantization, NAS),EfficientArchitectureDesign,Adaptive/DynamicInference,Resource-EfficientTraining andFi

Generative AI

• Research and/or internship experience related to the following areas could berequired:FoundationModels,ImageGeneration,VideoGeneration, 3DGeneration,AudioGeneration,DiffusionModels,Multimodality, Video Understanding

• Research and/or internship experience related to the following areas could berequired:RobotManipulation,RobotControl, 3DComputerVision,Physics-BasedSimulation,Human-RobotInteraction,NaturalLanguageProcessing,ReinforcementLearning,Sim-To-RealLearning ofRoboticPolicies,End-to-EndLearning ofPerception andControls,andAgentLearning

Programming Systems

• Research and/or internship experience related to the following areas could berequired: ProgrammingSystems,DistributedComputing,ParallelComputing,LargeLanguageModels, EDA/VLSI,OperatingSystems,Compilers, and/or HPC.

Computer Architecture

• Research and/or internship experience related to the following areas could berequired: ASIC and VLSIDesignTechniques,MachineLearningAcceleratorApproaches,NovelDigital VLSICircuits,ModelCompression,NetworkingArchitecture, Hardware-Software Co-Design.

• and/or internshipexperience in one or moreareaofHigh-PerformanceCircuitDesign: PLLs andClocking,SerDESandHigh-SpeedSignaling,Photonics, SRAMs,PowerDelivery/Regulation,SecurityCircuits, andHigh-SpeedL

What we need to see:

• Currently pursuing aPhD degree within Electrical Engineering, Computer Engineering,ComputerScience,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