Michael Gschwind Email & Phone Number
Distinguished Engineer @ NVIDIA
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Michael Gschwind Location
- Santa Clara, CA, US
Michael Gschwind Work
- 2024 -now Distinguished Engineer @
- 2024 -2024 Strategic Advisor @
- 2023 -2024 Software Engineer, PyTorch @
- 2023 -2024 Director, AI Training and Domain Services @
- 2021 -2023 Lead (Director and Principal Engineer), AI Acceleration @ Facebook @
- 2018 -2023 Founding Member @
- 2018 -2019 Chief Architect and VP, AI and Intelligent Applications @
- 2017 -2018 Project Lead and Chief Engineer, Deep Learning Platform and Applications, Global Chief Data Office @
- 2015 -2018 Project Lead and Chief Engineer, Machine and Deep Learning and PowerAI development @
- 2013 -2017 Project Lead and Chief Architect, Little-endian Power Software @
- 2014 -2017 Technical Steering Committee, OpenPOWER Foundation and Chair, Hardware Architecture Workgroup @
- 2013 -2017 Project Lead and Chief Architect, Little-endian Power Software @
- 2009 -2016 Chief Architect and Senior Manager, Power Systems Architecture @
- 2009 -2015 Senior Technical Staff Member and Senior Manager, System Architecture; Member, IBM Academy @
- 2009 -2015 Chief Architect and Senior Manager, Cross-Brand CPU, Firmware and I and O Architecture @
- 2006 -2012 Project Lead, Chief Architect and Design Lead, BlueGene and Q FP and Vector Unit and System Reliability @
Michael Gschwind Education
- Technische Universität Wien
Doctor of Philosophy (Computer Engineering)
1996 - Fulbright Austria
(Computer Science)
1991-1992
Michael Gschwind Skills
- Leadership
- Design Leadership
- Neural Networks
- Hardware Architecture
- Simd Vector Architecture
- Distributed Systems
- Software Design
- Computer Architecture
- Linux
- Algorithms
- C
- Debugging
- Technology Leadership
- Perl
- Computing
- Operating Systems
- Microprocessors
- Technical Leadership
- Shell Scripting
- ASIC
- VLSI
- Deep Learning
- Strategy
- Accelerators
- Virtualization
- Artificial Intelligence
- High Performance Computing Hpc
- Middleware
- Embedded Systems
- Deep L
- SIMD
- Big Data
- Business Analytics
- FPGA
- Parallel Programming
- VHDL
- C++
- Scalability
- Parallel Computing
- Software Engineering
- Semiconductors
- Simulations
- Server Architecture
- Project Management
- Computer Science
- Software Development
- Machine Learning
- Unix
- Very Large Scale Integration Vlsi
- Cloud Computing
- Architecture
- High Performance Computing
- Microarchitecture
- Compilers
- Hardware/Software Interface
- Verification
- Architectures
- System Architecture
- Abis
- Artificial Intelligence Ai
- Very Large Scale Integration
Michael Gschwind Summary
- Michael Gschwind, based in Santa Clara, CA, US, is currently a Distinguished Engineer at NVIDIA. Michael Gschwind brings experience from previous roles at Decompute and Meta. Michael Gschwind holds a Doctor of Philosophy in Computer Engineering @ Technische Universität Wien. With a robust skill set that includes Leadership, Design Leadership, Neural Networks, Hardware Architecture, Simd Vector Architecture and more. Michael Gschwind has 2 emails and 1 mobile phone numbers on RocketReach.
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