Deep Learning Compiler Engineer
Current- Worked on compiler used by TensorRT for optimizing neural networks on GPU
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Justin Wang is listed as Soft Dev @ Nvidia at NVIDIA, based in Santa Clara, California, United States. AeroLeads shows a matched LinkedIn profile for Justin Wang.
Justin Wang previously worked as Deep Learning Compiler Engineer at Nvidia and Compiler Engineer Intern at Groq. Justin Wang holds Bachelor Of Applied Science - Basc, Mechatronics Engineering from University Of Waterloo.
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Software engineer, UWaterloo graduate. Interested in robotics, machine learning, and computer vision.
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Santa Clara, CA, US
- Worked on compiler used by TensorRT for optimizing neural networks on GPU
Mountain View, California, US
- Implemented graph rewrites for Haskell compiler targeting in-house deep learning accelerator- Developed an embedded domain specific language for fast prototyping of hardware instructions
Mountain View, California, US
- Developed tensorflow graph transformation tools as a frontend to the compiler for in-house AI accelerator- Implemented custom ops and quantization kernels for accuracy benchmarking with different precision- Worked on circuit physical design tool using SMT solvers in Haskell
Eindhoven, Noord-Brabant, NL
- Implemented a traffic sign recognition convolutional neural network using tensorflow in Python and ported to embedded C++ framework to run on dedicated vision processor- Integrated a C# driving simulator with vision processor to evaluate performance of neural networks- Improved speed of application by enabling multi-threading and maximizing parallelism.
Waterloo, Ontario, CA
- Developed object detection and breathing monitoring applications for ultra-wideband sensors using Python for interfacing on drones; presented results using dynamic heatmaps and graphs using matplotlib- Improved breathing tracking accuracy using Fourier transform and filters from Scipy library- Implemented secondary object detection capabilities using.
Markham, ON, CA
Worked with the augmented reality headset team.- Expanded classifier framework for predicting object detection and tracking performance by implementing k-fold cross validation and feature engineering- Developed Python scripts to graphically illustrate performance of classifier, such as ROC curves
Toronto, Ontario, CA
Worked on creating unit tests for web applications using UI automation tools
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段宇华
Colleague at NvidiaSingapore, Singapore, Singapore
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Aabhas Mathur
Colleague at NvidiaSan Francisco Bay Area, United States, United States
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Srushti Raut
Colleague at NvidiaSanta Clara, California, United States, United States
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Young Kim
Colleague at NvidiaSan Francisco Bay Area, United States, United States
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Tziporet Koren
Colleague at NvidiaIsrael, Israel
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Praneeth Kumar
Colleague at NvidiaBengaluru, Karnataka, India, India
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Satya N.
Colleague at NvidiaSan Francisco Bay Area, United States, United States
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Carl Norum
Colleague at NvidiaSan Francisco Bay Area, United States, United States
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Sirshak Das
Colleague at NvidiaSan Francisco Bay Area, United States, United States
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Haihua(Patricia) Li
Colleague at NvidiaSanta Clara, California, United States, United States
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Quick answers generated from the profile data available on this page.
Justin Wang works for NVIDIA.
Justin Wang is listed as Soft Dev @ Nvidia at NVIDIA.
Justin Wang is based in Santa Clara, California, United States while working with NVIDIA.
Justin Wang has worked for Nvidia, Groq, Nxp Semiconductors, University Of Waterloo, and Epson Canada.
Justin Wang's colleagues at NVIDIA include 段宇华, Aabhas Mathur, Srushti Raut, Young Kim, and Tziporet Koren.
You can use AeroLeads to view verified contact signals for Justin Wang at NVIDIA, including work email, phone, and LinkedIn data when available.
Justin Wang holds Bachelor Of Applied Science - Basc, Mechatronics Engineering from University Of Waterloo.
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