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Brad Ries Email & Phone Number

Head of Algorithms (AI/ML and Computer Vision), LS-SWIFT at KLA
Location: San Francisco Bay Area, United States 8 work roles 3 schools
1 work email found @kla-tencor.com 1 phone found area 800 LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

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Work email b****@kla-tencor.com
Direct phone (800) ***-****
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Current company
KLA
Role
Head of Algorithms (AI/ML and Computer Vision), LS-SWIFT
Location
San Francisco Bay Area, United States

Who is Brad Ries? Overview

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Quick answer

Brad Ries is listed as Head of Algorithms (AI/ML and Computer Vision), LS-SWIFT at KLA, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at kla-tencor.com, phone signal with area code 800, and a matched LinkedIn profile for Brad Ries.

Brad Ries previously worked as Director of Engineering | Head of Algorithms at Kla and Principal Algorithm Engineer at Kla. Brad Ries holds Master Of Science - Ms, Physics from University Of Colorado Boulder.

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Email format at KLA

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{first}.{last}@kla-tencor.com
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Profile bio

About Brad Ries

Connecting the dots between cutting edge AI research and customer needs.

Listed skills include Algorithms, Signal Processing, Software Development, Systems Engineering, and 15 others.

Current workplace

Brad Ries's current company

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KLA
Kla
Head of Algorithms (AI/ML and Computer Vision), LS-SWIFT
Website
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8 roles · 28 years

Brad Ries work experience

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

Director Of Engineering | Head Of Algorithms

Current
Kla

Milpitas, California, Us

2023 - Present ~3 yrs 6 mos

Principal Algorithm Engineer

Kla

Milpitas, California, Us

In 2015 I was promoted to build and lead a computer vision research team tasked with assessing feasibility of market requests, investigating business opportunities through application of AI, and defining new products by addressing gaps in the division’s portfolio. The division has revenues in excess of $150M / year. My role includes partnering with the executive team on strategy for R&D investment decisions to achieve business roadmap. During my time in this position, I built our AI capabilities through hiring and an engaged a consultancy, spearheaded adoption of advanced machine learning techniques for defect classification on KLA's computer vision microscopy products, and drove computational optimizations that enabled real time usage that led to 5X in sales over forecast in its first year. I've also solved unique customer requirements that necessitated custom computer vision work that has resulted in million-dollar sales. I presented at KLA’s 2019 annual software engineering conference in India for an audience of engineers and VPs on automating inspection setup from days to hours through human / AI interaction, which is now being integrated into multiple products. Our work has resulted in multiple patent applications.

2015 - 2023 ~8 yrs

Sr. Algorithm Engineer / Technical Lead

Kla

Milpitas, California, Us

I was promoted to an Algorithm Technical Lead for VisEdge, CIRCL Edge and Backside modules, leading a small team of algorithm engineers from requirements gathering through to handing off finished product to service in coordination with systems, software and applications engineering. These products are semiconductor wafer inspection systems used to screen for defects on a fast moving noisy 3D surface using multiple high speed cameras, followed by subsequent review with high resolution microscope. They are accurate to 10 microns at data rates in excess of 10 MPPS and have been deployed in dozens of foundries worldwide.I held responsibility for technical leadership for algorithmic investigations, development, and customer escalations.

2010 - 2015 ~5 yrs

Sr. Algorithm Engineer

Kla

Milpitas, California, Us

In my first role with KLA I was responsible for rapid prototyping of image processing algorithms for evaluation in solving systems requirements in new products, specific customer needs, enhancement of existing product capabilities, and addition of new features. This included design of efficient algorithmic implementations balancing competing goals of highest throughput vs. maintainability and time to develop through minimizing overhead, operation count, and memory bandwidth. My other tasks included investigation of sources of distortion in imaging system, designing corresponding calibration algorithms to compensate, writing software requirements / design documents and test plans, scoping future embedded computer architectures, mentoring peers, and troubleshooting and debugging deployed software.

2005 - 2010 ~5 yrs

Sr. Applications Engineer

Chelmsford, Ma, Us

At Sky Computers I reported to the Director of High Performance Computing in a customer-facing individual contributor role responsible for supporting current and prospective customers implementing high performance applications on complex multi-processor systems. My work included design of novel mathematic and computer science techniques, research and recommendations for algorithmic approaches, development of highly optimized AltiVec assembly routines (achieving 20 – 30 X improvement over customer provided scalar code), and overall system troubleshooting. The applications were largely dominated by digital signal processing in the fields of semiconductor inspection, radar processing and signals intelligence. I also assisted on sales trips to provide tech briefings, and coordinated with sales and marketing on brochures and sales proposals.

Jan 2003 - Nov 2005

Software Engineer

I developed and maintained a launch vehicle simulator for testing Titan IV/Centaur/Atlas embedded flight software.

Mar 2001 - Jan 2003

Systems Engineer

Sagacitx

At Sagacitx I developed numerous highly interactive signal processing and 3D displays for a data visualization software product, which required the creation of efficient algorithms to render large datasets in a real time animated fashion. The application was written in Java to allow for platform independence.I also consulted with SKY Computers to develop real-time, embedded image processing algorithms for a semiconductor inspection customer, and contributed a unique approach that achieved an order of magnitude reduction in operation counts for a critical algorithm.

1999 - Jan 2001

Systems Engineer

Falls Church, Virginia, Us

In this role I developed multiple statistical signal processing algorithms for radar detection and parameter extraction for use in a real-time wide-band ELINT system implemented on a several hundred processor PowerPC architecture. This included the development of integer FFTs optimized in AltiVec, and deriving the Cramer-Rao lower bounds to test the performance quality of the system.

Feb 1997 - Oct 1999
Team & coworkers

Colleagues at KLA

Other employees you can reach at kla-tencor.com. View company contacts →

3 education records

Brad Ries education

Master Of Science - Ms, Physics

University Of Colorado Boulder

Bachelor Of Science - Bs, Physics & Math

Michigan State University

High School Diploma

Allegan High School
FAQ

Frequently asked questions about Brad Ries

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

What company does Brad Ries work for?

Brad Ries works for KLA.

What is Brad Ries's role at KLA?

Brad Ries is listed as Head of Algorithms (AI/ML and Computer Vision), LS-SWIFT at KLA.

What is Brad Ries's email address?

AeroLeads has found 1 work email signal at @kla-tencor.com for Brad Ries at KLA.

What is Brad Ries's phone number?

AeroLeads has found 1 phone signal(s) with area code 800 for Brad Ries at KLA.

Where is Brad Ries based?

Brad Ries is based in San Francisco Bay Area, United States while working with KLA.

What companies has Brad Ries worked for?

Brad Ries has worked for Kla, Sky Computers, Analex Corporation, Sagacitx, and General Dynamics Information Technology.

Who are Brad Ries's colleagues at KLA?

Brad Ries's colleagues at KLA include Albert Santos, Wenkai Fu, Raj Radhakrishnan, Yizhen Ku, and Matteo Robazza.

How can I contact Brad Ries?

You can use AeroLeads to view verified contact signals for Brad Ries at KLA, including work email, phone, and LinkedIn data when available.

What schools did Brad Ries attend?

Brad Ries holds Master Of Science - Ms, Physics from University Of Colorado Boulder.

What skills is Brad Ries known for?

Brad Ries is listed with skills including Algorithms, Signal Processing, Software Development, Systems Engineering, Image Processing, Semiconductors, Simulations, and High Performance Computing.

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