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William Zhang Email & Phone Number

Incoming Software Engineer Intern, Machine Learning at Nvidia
Location: San Francisco Bay Area, United States 6 work roles 2 schools
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✓ Verified August 2026 3 data sources Profile completeness 100%

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Current company
Nvidia
Role
Incoming Software Engineer Intern, Machine Learning
Location
San Francisco Bay Area, United States
Company size
41500 employees

Who is William Zhang? Overview

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Quick answer

William Zhang is listed as Incoming Software Engineer Intern, Machine Learning at Nvidia, a with 41500 employees, based in San Francisco Bay Area, United States. AeroLeads shows a matched LinkedIn profile for William Zhang.

William Zhang previously worked as Researcher at Stanford Artificial Intelligence Laboratory (Sail) and Partner at Kudla Fund. William Zhang holds Master Of Science - Ms, Computer Science from Stanford University.

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Email format at Nvidia

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Nvidia

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Profile bio

About William Zhang

Stanford graduate with BS & MS in math and computer science. Extensive experience in machine learning research, focused on computer vision, natural language processing, and generative models.I am actively seeking roles in machine learning research and engineering.

Listed skills include Mathematics, Data Structures, Latex, Python, and 13 others.

Current workplace

William Zhang's current company

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Nvidia
Nvidia
Incoming Software Engineer Intern, Machine Learning
California, United States
Website
nvidia.com
Employees
41500
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6 roles · 6 years

William Zhang work experience

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Incoming Software Engineer Intern, Machine Learning

Nvidia

California, United States

Team & coworkers

Colleagues at Nvidia

Other employees you can reach at nvidia.com. View company contacts for 41500 employees →

GO Gustavo Ovalles Gustavo Ovalles Colleague at NvidiaUnited States View → RK Raghvendra Kamathankar Raghvendra Kamathankar Colleague at NvidiaPune, Maharashtra, India View → MQ Minh Quan Vu Minh Quan Vu Colleague at NvidiaHanoi, Vietnam, Viet Nam View → YS Yanke Song Yanke Song Colleague at NvidiaPasadena, California, United States View → DK Drew Kersnar Drew Kersnar Colleague at NvidiaGreater Chicago Area, United States View → NS Nuno Subtil Nuno Subtil Colleague at NvidiaSanta Clara, California, United States View → DS Dilip Surapuram Dilip Surapuram Colleague at NvidiaGreater Hyderabad Area, India View → WE Wael Elhaddad Wael Elhaddad Colleague at NvidiaSanta Clara, California, United States View → QN Quang Nguyen Quang Nguyen Colleague at NvidiaSan Jose, California, United States View → AA Anan Al-Aghbar Anan Al-Aghbar Colleague at NvidiaPalestinian Authority, Palestine, State Of View →
2 education records

William Zhang education

Master Of Science - Ms, Computer Science

Stanford University

Bachelor Of Science With Honors - Bsh, Mathematics And Computer Science

Stanford University
FAQ

Frequently asked questions about William Zhang

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

What company does William Zhang work for?

William Zhang works for Nvidia.

What is William Zhang's role at Nvidia?

William Zhang is listed as Incoming Software Engineer Intern, Machine Learning at Nvidia.

Where is William Zhang based?

William Zhang is based in San Francisco Bay Area, United States while working with Nvidia.

What companies has William Zhang worked for?

William Zhang has worked for Nvidia, Stanford Artificial Intelligence Laboratory (Sail), Kudla Fund, Stanford Law School, and Stanford University Department Of Computer Science.

Who are William Zhang's colleagues at Nvidia?

William Zhang's colleagues at Nvidia include Gustavo Ovalles, Raghvendra Kamathankar, Minh Quan Vu, Yanke Song, and Drew Kersnar.

How can I contact William Zhang?

You can use AeroLeads to view verified contact signals for William Zhang at Nvidia, including work email, phone, and LinkedIn data when available.

What schools did William Zhang attend?

William Zhang holds Master Of Science - Ms, Computer Science from Stanford University.

What skills is William Zhang known for?

William Zhang is listed with skills including Mathematics, Data Structures, Latex, Python, Java, Computational Physics, Artificial Intelligence, and Research.

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