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Mark Stephenson Email & Phone Number

Principal Research Scientist at NVIDIA at NVIDIA
Location: Austin, Texas, United States 6 work roles 2 schools
1 work email found @nvidia.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

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Work email m****@nvidia.com
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Current company
Role
Principal Research Scientist at NVIDIA
Location
Austin, Texas, United States

Who is Mark Stephenson? Overview

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Quick answer

Mark Stephenson is listed as Principal Research Scientist 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 Mark Stephenson.

Mark Stephenson previously worked as Principal Research Scientist at Nvidia and Research Staff Member at Ibm Research. Mark Stephenson holds Doctor Of Philosophy (Phd), Computer Science from Massachusetts Institute Of Technology.

Company email context

Email format at NVIDIA

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{first_initial}{last}@nvidia.com
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AeroLeads found 1 current-domain work email signal for Mark Stephenson. Compare company email patterns before reaching out.

Profile bio

About Mark Stephenson

My background is in compilers and architecture, and I am an experienced machine learning practitioner. I have experience with multiple programming languages (from Verilog and C to F#, Scala, and Javascript).

Listed skills include C, High Performance Computing, Computer Architecture, Algorithms, and 18 others.

Current workplace

Mark Stephenson's current company

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NVIDIA
Nvidia
Principal Research Scientist at NVIDIA
Santa Clara, CA
Website
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6 roles · 31 years

Mark Stephenson work experience

A career timeline built from the work history available for this profile.

Principal Research Scientist

Current

Santa Clara, Ca, Us

I am a member of the Architecture Research Group at NVIDIA. I have focused primarily on compiler analyses and tools for both CUDA and graphics workloads.

Feb 2014 - Present

Research Staff Member

Armonk, New York, Ny, Us

During my time with IBM my projects spanned a diverse range of topics, focused primarily on compilers and computer architecture. I have written a few important applications for large-scale systems. In particular, I wrote a high-performance, fault-resilient FFT library for the IBM PERCS system, and a Hadoop-based HTML parsing engine for a moderately sized IBM Power 7 cluster. Previous projects include the hardware/software co-design of a lightweight predication scheme, and language extensions and associated compiler and runtime system support for detecting anomalous program behavior.

Sep 2006 - Jan 2014

Research Assistant

Mit

Cambridge, Ma, Us

For my PhD and Masters I was primarily advised by Professor Saman Amarasinghe. I was the leader of a project that focused on using machine learning techniques to make sense of complicated computer systems. I worked closely with machine learning researchers and systems researchers to develop techniques to analyze and design modern-day systems. Our systems automatically extract empirical performance data from running applications, which they then use to automatically generate improved compiler and runtime optimizations. The project spanned several large compiler infrastructures including Trimaran, the Open Research Compiler, and the Jikes Research Virtual Machine. I directly supervised two Master's students.Earlier in my career at MIT, I was also advised by Professor Anant Agarwal. Under Anant, I assisted in the early design and study of the RAW architecture project. In particular, I helped design the floating point ALU and the data cache. For my Master's thesis I developed a compiler analysis in SUIF that statically determines the minimum number of bits needed to represent an input program's variables. We successfully applied our system to hardware synthesis from the C programming language.

Aug 1998 - May 2006

Undergraduate Research Assistant

University Of Utah

Advised by Professor Al Davis and Professor Erik Brunvand. I was a member of the Avalanche Project which sought to create an inexpensive multiprocessing system by designing a bus card that tightly couples a machines's processor and memory system to a fast network fabric. I wrote a VHDL description for the test chip's two-way set associative data cache. In addition I performedVLSI layout for a number of the test chip's components.

1997 - 1998 ~1 yr

Intern

Evans And Sutherland
1996 - 1997 ~1 yr

Intern

Washington, Dc, Us

Jun 1996 - Aug 1996
Team & coworkers

Colleagues at NVIDIA

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2 education records

Mark Stephenson education

Doctor Of Philosophy (Phd), Computer Science

Massachusetts Institute Of Technology

Bachelor'S Degree, Computer Engineering

University Of Utah
FAQ

Frequently asked questions about Mark Stephenson

Quick answers generated from the profile data available on this page.

What company does Mark Stephenson work for?

Mark Stephenson works for NVIDIA.

What is Mark Stephenson's role at NVIDIA?

Mark Stephenson is listed as Principal Research Scientist at NVIDIA at NVIDIA.

What is Mark Stephenson's email address?

AeroLeads has found 1 work email signal at @nvidia.com for Mark Stephenson at NVIDIA.

Where is Mark Stephenson based?

Mark Stephenson is based in Austin, Texas, United States while working with NVIDIA.

What companies has Mark Stephenson worked for?

Mark Stephenson has worked for Nvidia, Ibm Research, Mit, University Of Utah, and Evans And Sutherland.

Who are Mark Stephenson's colleagues at NVIDIA?

Mark Stephenson's colleagues at NVIDIA include Ying Li, Sharan Mundhada, David Boyd, Yun-Chung Lee, and Sandeep Sharma.

How can I contact Mark Stephenson?

You can use AeroLeads to view verified contact signals for Mark Stephenson at NVIDIA, including work email, phone, and LinkedIn data when available.

What schools did Mark Stephenson attend?

Mark Stephenson holds Doctor Of Philosophy (Phd), Computer Science from Massachusetts Institute Of Technology.

What skills is Mark Stephenson known for?

Mark Stephenson is listed with skills including C, High Performance Computing, Computer Architecture, Algorithms, C++, Computer Science, Parallel Computing, and Distributed Systems.

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