Nicolas Castet Email & Phone Number
@nvidia.com
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Who is Nicolas Castet? Overview
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Nicolas Castet is listed as Senior Deep Learning Engineer at NVIDIA at NVIDIA, based in Austin, Texas, United States. AeroLeads shows a work email signal at nvidia.com and a matched LinkedIn profile for Nicolas Castet.
Nicolas Castet previously worked as Senior Deep Learning Engineer at Nvidia and Senior Software Engineer at Habana Labs. Nicolas Castet holds Master Of Science, Computer Science from Texas A&M University.
Email format at NVIDIA
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AeroLeads found 1 current-domain work email signal for Nicolas Castet. Compare company email patterns before reaching out.
About Nicolas Castet
Goal-driven software developer with experience in full product development life cycle, algorithm design/implementation, and correctness/performance testing.Interests:Real-world problem solvingDeep Learning/Machine LearningParallel ComputingOptimization algorithmsResearchModern C++Python
Listed skills include C++, Algorithms, Software Engineering, Parallel Computing, and 14 others.
Nicolas Castet's current company
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Nicolas Castet work experience
A career timeline built from the work history available for this profile.
Cognitive Software Engineer
- Contribute to deliver a deep learning framework suite including TensorFlow, PyTorch, NCCL and Horovod for IBM Power servers
- Collaborate as a member of the Technical Steering Committee to the open source project Horovod
- Tune models and frameworks to scale to thousands of GPUs on the Summit supercomputer
- Streamline the deployment of distributed deep learning jobs using Kubernetes and OpenShift
- Lead the effort for an elastic distributed deep learning training solution to dynamically scale up and down GPUs
- Optimize the ResNet50 model to achieve state-of-the-art performance and convergence with hundreds of GPUs
Cloud Software Engineer
- Contributed to the core development of NovaLink layer to bring IBM servers to cloud computing platforms OpenStack and PowerVC
- Led NovaLink development to manage PowerVM and KVM hypervisors from the same platform
- Optimized VM live migration flow to reduce host evacuation time
- Developed VM live migration capability for Linux IO storage and SDN environment
- Implemented the Elastic Stack to collect, ship, filter, and analyze virtualization logs in the cloud
Software Developer
- Lead the development of a new product TransportPlanner™ and its implementationfor our client NATO
- Develop algorithms to optimize the transport of products in a pipeline network using graph algorithms and linear and mixed integer programming
- Research various techniques to solve pipeline and terminal scheduling problems
- Involved in all the stages of the software life cycle from requirement gathering to deployment and support
- Developed a multithreaded tool to run efficiently pipeline optimization simulationsand browse their results
Graduate Researcher
- Develop parallel algorithms for the library STAPL, a parallel superset of the C++ Standard Template Library
- Develop a parallel partitioning framework for arbitrary graphs and unstructured meshes as part of STAPL -- Improved performance of parallel sweep on 3D unstructured meshes by 30% by developing a columnar mesh partitioner
- Helped the team to integrate STAPL into a parallel particle transport code leading to a reduction of the mesh construction by a factor of 5
- Implement performance and correctness tests for nightly validation of the framework
- Interact with a team of 10 people: meetings on the design of the STAPL library, research presentations and mentoring of intern students
Research Intern
Developed a parallel uncollided flux algorithm for a particle transport code-- Improved the accuracy of the particle detection
Colleagues at NVIDIA
Other employees you can reach at nvidia.com. View company contacts →
Vladimir Kovalev
Colleague at Nvidia
Moscow, Russia, Russian Federation
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SP
Sowmya Pidakala
Colleague at Nvidia
Telangana, India, India
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SP
Smita Patil
Colleague at Nvidia
Pune, Maharashtra, India, India
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SS
Smit Sparsh
Colleague at Nvidia
Santa Clara, California, United States, United States
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KH
Kevin Hsu
Colleague at Nvidia
Hangzhou, Zhejiang, China, China
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UB
Uttkarsha Bhatt
Colleague at Nvidia
Bengaluru, Karnataka, India, India
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SR
Shivanand Ramesh Pujari
Colleague at Nvidia
San Francisco Bay Area, United States, United States
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SK
Sarath Krishnan
Colleague at Nvidia
Santa Clara, California, United States, United States
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CU
Christopher Uchytil
Colleague at Nvidia
Seattle, Washington, United States, United States
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LL
Lijuan Luo
Colleague at Nvidia
Santa Clara, California, United States, United States
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Nicolas Castet education
Master Of Science, Computer Science
Master, General Engineering; Computer Science
Frequently asked questions about Nicolas Castet
Quick answers generated from the profile data available on this page.
What company does Nicolas Castet work for?
Nicolas Castet works for NVIDIA.
What is Nicolas Castet's role at NVIDIA?
Nicolas Castet is listed as Senior Deep Learning Engineer at NVIDIA at NVIDIA.
What is Nicolas Castet's email address?
AeroLeads has found 1 work email signal at @nvidia.com for Nicolas Castet at NVIDIA.
Where is Nicolas Castet based?
Nicolas Castet is based in Austin, Texas, United States while working with NVIDIA.
What companies has Nicolas Castet worked for?
Nicolas Castet has worked for Nvidia, Habana Labs, Ibm, Energy Solutions International, and Parasol Laboratory At Texas A&M University.
Who are Nicolas Castet's colleagues at NVIDIA?
Nicolas Castet's colleagues at NVIDIA include Vladimir Kovalev, Sowmya Pidakala, Smita Patil, Smit Sparsh, and Kevin Hsu.
How can I contact Nicolas Castet?
You can use AeroLeads to view verified contact signals for Nicolas Castet at NVIDIA, including work email, phone, and LinkedIn data when available.
What schools did Nicolas Castet attend?
Nicolas Castet holds Master Of Science, Computer Science from Texas A&M University.
What skills is Nicolas Castet known for?
Nicolas Castet is listed with skills including C++, Algorithms, Software Engineering, Parallel Computing, C, Simulations, Parallel Algorithms, and Linux.
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