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Nicolas Cebron, Ph.D. Email & Phone Number

Director of SW Engineering at Latitude AI at Latitude AI
Location: San Francisco Bay Area, United States 9 work roles 2 schools
1 work email found @argo.ai LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

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Current company
Role
Director of SW Engineering at Latitude AI
Location
San Francisco Bay Area, United States

Who is Nicolas Cebron, Ph.D.? Overview

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Quick answer

Nicolas Cebron, Ph.D. is listed as Director of SW Engineering at Latitude AI at Latitude AI, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at argo.ai and a matched LinkedIn profile for Nicolas Cebron, Ph.D..

Nicolas Cebron, Ph.D. previously worked as Director of SW Engineering at Latitude Ai and Senior SW Engineering Manager at Latitude Ai. Nicolas Cebron, Ph.D. holds Phd, Computer Science from University Of Konstanz.

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Email format at Latitude AI

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*@argo.ai
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Profile bio

About Nicolas Cebron, Ph.D.

An accomplished team leader and project manager with leading-edge expertise in computer vision and machine learning (with a focus on perception for autonomous systems), I have over 10 years of professional experience with world class technology companies, including Apple and Bosch and University of California, Berkeley. I possess an effective blend of technical brilliance and managerial skills, as well as a Ph.D. in Computer Science from University of Konstanz, Germany.

Listed skills include Machine Learning, Data Mining, Java, Knime, and 26 others.

Current workplace

Nicolas Cebron, Ph.D.'s current company

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Latitude AI
Latitude Ai
Director of SW Engineering at Latitude AI
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9 roles

Nicolas Cebron, Ph.D. work experience

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Director Of Sw Engineering

Current

Pittsburgh, Pa, Us

Jul 2023 - Present

Senior Sw Engineering Manager

Pittsburgh, Pa, Us

Feb 2023 - Jul 2023

Senior Software Engineering Manager

Pittsburgh, Pennsylvania, Us

As a Senior Software Engineering Manager at Argo AI, I successfully led a team of 40 people with 3 engineering managers in the development and implementation of camera and radar perception systems. My responsibilities included creating and executing project plans, setting the technical agenda of the teams, and managing my team members. - Managed and led a diverse, international team of 40 people with 3 engineering managers, fostering a positive and inclusive work environment that contributed to an industry-leading retention rate of 97.5%.- Spearheaded the recruitment and onboarding of 31 new team members, resulting in a significant expansion of the team and a corresponding increase in capacity and capabilities.- Demonstrated expertise in deep learning by initially proposing and leading the development of a new attention-based object detection model, resulting in a significant improvement in performance and recognition in the form of a publication in a top-tier conference.

Jul 2021 - Mar 2023

Software Engineering Manager Ii

Pittsburgh, Pennsylvania, Us

As a Software Engineering Manager at Argo, I led a team of engineers in the development and implementation of advanced algorithms for object detection. My responsibilities included managing and mentoring the team, collaborating with cross-functional teams, and driving project timelines to ensure successful delivery of high-quality perception modules. Our efforts resulted in a significant increase in detection accuracy and efficiency, positioning the company as a leader in the industry.

Apr 2019 - Mar 2023

Senior Research Engineer

Cupertino, California, Us

I was hired as a machine learning software expert in the Apple Special Projects Group to work on advanced technology next-generation products. I was directly responsible for object detection in sensor data and training deep neural networks for object detection and scene segmentation. I implemented network architectures and new algorithms and tested their feasibility with respect to performance and runtime. I defined and discussed data requirement and reviewed code.

Aug 2015 - Apr 2019

Research Engineer / Research Scientist

Gerlingen-Schillerhöhe, Baden-Wuerttemberg, De

I was hired as a machine learning expert to conduct research on object detection for applications in video surveillance and automotive safety. I led design, development, and testing of object detection algorithms, and participated in scientific and Bosch-internal technical conferences. I planned research projects and presented results to senior management, and assembled and managed small teams of co-researchers as needed. Past successes:- Developed novel object detection algorithms with patented technology for speeding up object detection. Successfully transferred new object detection implementations from research to Bosch business units (video surveillance and robotics). - Team leader (with 3 person team) for Multi-Class Object Detection project. Developed new approaches to efficiently detect multiple classes in video streams. Spearheaded successful presentation and technology transfer to Bosch’s automotive business unit. - Designed and implemented a distributed machine learning framework with focus on computer vision problems using millions of data samples and billions of image features. Presented findings to the Head of Research at Bosch and Bosch internal conferences. Successfully trained new object detectors with this framework.- Selected for Bosch’s internal manager training program.

Apr 2012 - Jul 2015

Assistant Professor

Augsburg, Bavaria, De

I conducted research in machine learning and computer vision. I taught classes in programming and machine learning to undergraduate and graduate students, and published papers in top-tier conferences and journals. I was proud to have:- Selected, managed, and mentored a team of 12 student assistants.- Served as interim administrator of Computer Science Department. - Pioneered advances in how users interact with machine learning algorithms.

Aug 2010 - Apr 2012

Postdoctoral Researcher

Berkeley, Ca, Us

I spent 1 year in the computer vision group led by Professor Trevor Darrell. I researched active machine learning with multiple views for computer vision. Notably, I:- Collaborated with other researchers and published a paper on forensic camera identification.

Sep 2009 - Aug 2010

Postdoctoral Researcher

Konstanz, Baden-Württemberg, De

Postdoctoral fellow in research project Bisociation Networks for Creative Information Discovery FP7 (BISON, http://www.bisonet.eu) funded by the European Commission.

Jul 2008 - Aug 2009
2 education records

Nicolas Cebron, Ph.D. education

Phd, Computer Science

University Of Konstanz

Dipl. Inf. (Fh), Computer Science

Ostfalia - University Of Applied Sciences
FAQ

Frequently asked questions about Nicolas Cebron, Ph.D.

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

What company does Nicolas Cebron, Ph.D. work for?

Nicolas Cebron, Ph.D. works for Latitude AI.

What is Nicolas Cebron, Ph.D.'s role at Latitude AI?

Nicolas Cebron, Ph.D. is listed as Director of SW Engineering at Latitude AI at Latitude AI.

What is Nicolas Cebron, Ph.D.'s email address?

AeroLeads has found 1 work email signal at @argo.ai for Nicolas Cebron, Ph.D. at Latitude AI.

Where is Nicolas Cebron, Ph.D. based?

Nicolas Cebron, Ph.D. is based in San Francisco Bay Area, United States while working with Latitude AI.

What companies has Nicolas Cebron, Ph.D. worked for?

Nicolas Cebron, Ph.D. has worked for Latitude Ai, Argo Ai, Apple, Robert Bosch Gmbh, and University Of Augsburg.

How can I contact Nicolas Cebron, Ph.D.?

You can use AeroLeads to view verified contact signals for Nicolas Cebron, Ph.D. at Latitude AI, including work email, phone, and LinkedIn data when available.

What schools did Nicolas Cebron, Ph.D. attend?

Nicolas Cebron, Ph.D. holds Phd, Computer Science from University Of Konstanz.

What skills is Nicolas Cebron, Ph.D. known for?

Nicolas Cebron, Ph.D. is listed with skills including Machine Learning, Data Mining, Java, Knime, Weka, Pattern Recognition, Latex, and Active Learning.

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