Louis Capps
AeroLeads people directory · profile

Louis Capps Email & Phone Number

Supercomputing System Engineer for Deep Learning AI at NVIDIA
Location: Georgetown, Texas, United States 11 work roles 2 schools
1 work email found @nvidia.com 1 phone found area 408 LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 1 phone

Work email l****@nvidia.com
Direct phone (408) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Supercomputing System Engineer for Deep Learning AI
Location
Georgetown, Texas, United States
Company size

Who is Louis Capps? Overview

A concise factual answer block for searchers comparing this professional profile.

Quick answer

Louis Capps is listed as Supercomputing System Engineer for Deep Learning AI at NVIDIA, a company with 41500 employees, based in Georgetown, Texas, United States. AeroLeads shows a work email signal at nvidia.com, phone signal with area code 408, and a matched LinkedIn profile for Louis Capps.

Louis Capps previously worked as Deep Learning Principle System Engineer at Nvidia and GPU Solutions Architect at Nvidia. Louis Capps holds Bachelor Of Science And Engineering, Compute Systems Engineering from Arizona State University.

Company email context

Email format at NVIDIA

This section adds company-level context without repeating Louis Capps's masked contact details.

{first_initial}{last}@nvidia.com
89% confidence

AeroLeads found 1 current-domain work email signal for Louis Capps. Compare company email patterns before reaching out.

Profile bio

About Louis Capps

Principle System Engineer with a focus on enabling emerging innovative uses of leading edge acceleration technologies and innovative scale out AI Supercomputers. Particularly interested in HPC and machine learning solutions and visualization in concert with GPU accelerated clusters (x86 and POWER). Significant background in High Performance Computing, IBM POWER technology both CPU architecture and system design and simulation. In depth knowledge of I/O technologies including PCIe and InfiniBand and high performance storage design.Specialties: System architecture, large scale cluster design for HPC and AI, performance evaluation of technologies, competitve evaluation, AIX/Linux admin, Cluster software technologies

Listed skills include System Architecture, Hardware, High Performance Computing, Linux, and 36 others.

Current workplace

Louis Capps's current company

Company context helps verify the profile and gives searchers a useful next step.

NVIDIA
Nvidia
Supercomputing System Engineer for Deep Learning AI
Georgetown, TX, US
Website
Employees
41500
AeroLeads page
11 roles · 38 years

Louis Capps work experience

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

Supercomputing System Engineer For Deep Learning Ai

Georgetown, TX, US

Deep Learning Principle System Engineer

Current

Santa Clara, CA, US

- Architect and deploy large scale GPU based AI Supercomputers using emerging technology- Collaborate on unique next generation system interconnect and network design- Drive unique technology proof of concepts focused on function, performance and data center usability

Jan 2019 - Present

Gpu Solutions Architect

Santa Clara, CA, US

Enablement of emerging use cases for NVIDIA technologies- GPU Solutions architecture- Performance modeling- Benchmarking- Client education for solution design and software stack- Liaison between clients and development teams

Oct 2014 - Jan 2019

Federal High Performance Computing System Architect

Ibm

Armonk, New York, NY, US

Architecting Supercomputers for National labs based on POWER and x86 technologies. - Focus on high performance computing and clustering. - Evaluate and answer request for proposals from Federal clients. Requires expertise in all areas of system design from CPU details like pipeline and cache design and operation to I/O interconnect to physical/install.

Oct 2006 - Sep 2014

System Sim Lead

Ibm

Armonk, New York, NY, US

Lead team to bring up PowerPC CPUs and support chips developing and driving system simulation plans with a focus on function, performance and power useage.

Mar 2003 - Aug 2006

System Design Architect

Ibm

Armonk, New York, NY, US

Chief system architect for IBM Power server products- Developed system vision for new POWER5 based server family working with research, processor development, operating systems and marketing teams. Formed the initial product designs for 2003 product launch.- Merged the iSeries and pSeries structures using a building block approach and common structures.

Mar 2000 - Mar 2003

Ibm Senior System Architecture And Design Manager

Ibm

Armonk, New York, NY, US

Formed new systems design team to support the future product developmentLed team to create POWER4 system designs and workbooks in support of Gigaprocessor product family launch in 2001.

1999 - 2000 ~1 yr

Senior Development Manager

Ibm

Armonk, New York, NY, US

Managed a 12 person to team in developing and shipping the highend RS/6000 PowerPC 604 2 way workstation from schematic to lab verification to general availability.

1998 - 1999 ~1 yr

Lead Workstation Design Engineer

Ibm

Armonk, New York, NY, US

As part of the IBM Power Personal Systems effort with Apple and Motorola, generated the designs for multiple RS/6000 PowerPC products and lead teams in their implementation from logic/system design to lab bringup/debug to GA.- PowerPC 603 "Polo" prototype executive desktop product for Power Person Systems- PowerPC 604 "Tiger" RS/6000 (43P) Workstation.

1993 - 1998 ~5 yrs

Lead Service Processor Design Engineer

Ibm

Armonk, New York, NY, US

Lead a small team to design a self contained, ISA based service processor card.- Refined PC Company initial service processor vision and created the "Watchman" product, the first xSeries service processor. - Was the product architect and lead/key technical engineer defining/implementing/debugging the circuits, vhdl support chip logic, adapter realtime OS.

1992 - 1993 ~1 yr

System Design Engineer

Ibm

Armonk, New York, NY, US

Developed multiple PC Company x86 server products (80486 through Pentium).- Developed interface logic for MicroChannel, x86 cache interface and memory controllers. - Also developed firmware for initalizing I/O interfaces and memory controllers.- Participated in many customer presentations, competive benchmarks and computer shows (Comdex, Hanover)

1988 - 1992 ~4 yrs
Team & coworkers

Colleagues at NVIDIA

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

2 education records

Louis Capps education

Bachelor Of Science And Engineering, Compute Systems Engineering

Arizona State University

Computer Science

Florida Atlantic University
FAQ

Frequently asked questions about Louis Capps

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

What company does Louis Capps work for?

Louis Capps works for NVIDIA.

What is Louis Capps's role at NVIDIA?

Louis Capps is listed as Supercomputing System Engineer for Deep Learning AI at NVIDIA.

What is Louis Capps's email address?

AeroLeads has found 1 work email signal at @nvidia.com for Louis Capps at NVIDIA.

What is Louis Capps's phone number?

AeroLeads has found 1 phone signal(s) with area code 408 for Louis Capps at NVIDIA.

Where is Louis Capps based?

Louis Capps is based in Georgetown, Texas, United States while working with NVIDIA.

What companies has Louis Capps worked for?

Louis Capps has worked for Nvidia and Ibm.

Who are Louis Capps's colleagues at NVIDIA?

Louis Capps's colleagues at NVIDIA include Shreyansh Neekhre, Richard Zhang, Andrew Chen, Maththaiya Durai, and Hasnain Nadeem.

How can I contact Louis Capps?

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

What schools did Louis Capps attend?

Louis Capps holds Bachelor Of Science And Engineering, Compute Systems Engineering from Arizona State University.

What skills is Louis Capps known for?

Louis Capps is listed with skills including System Architecture, Hardware, High Performance Computing, Linux, Virtualization, Cloud Computing, Processors, and Cluster.

Find 750M verified contacts

Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.