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Nathan Levy Email & Phone Number

Director of SW at Quantum Machines at Quantum Machines
Location: Center District, Israel 7 work roles 4 schools
1 work email found @gm.com LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email n****@gm.com
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Current company
Role
Director of SW at Quantum Machines
Location
Center District, Israel

Who is Nathan Levy? Overview

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Quick answer

Nathan Levy is listed as Director of SW at Quantum Machines at Quantum Machines, based in Center District, Israel. AeroLeads shows a work email signal at gm.com and a matched LinkedIn profile for Nathan Levy.

Nathan Levy previously worked as Director of SW at Quantum Machines and Director - Head of Perception at General Motors. Nathan Levy holds Phd, Electrical Engineering from Technion - Israel Institute Of Technology.

Company email context

Email format at Quantum Machines

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{first}.{last}@gm.com
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AeroLeads found 1 current-domain work email signal for Nathan Levy. Compare company email patterns before reaching out.

Profile bio

About Nathan Levy

Nathan Levy is a Director of SW at Quantum Machines at Quantum Machines. He possess expertise in matlab, c, c++, algorithms, simulations and 8 more skills. He is proficient in English.

Listed skills include Matlab, C, C++, Algorithms, and 9 others.

Current workplace

Nathan Levy's current company

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Quantum Machines
Quantum Machines
Director of SW at Quantum Machines
AeroLeads page
7 roles

Nathan Levy work experience

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

Director Of Sw

Current

Tel Aviv, Israel, Il

Feb 2024 - Present

Director - Head Of Perception

Detroit, Michigan, Us

Sep 2022 - Jan 2024

Senior Manager - Head Of Perception

Detroit, Michigan, Us

Nov 2021 - Sep 2022

Group Leader. Neural Network Acceleration

Leading the development of Neural Network Acceleration from algorithm research to implementation over specialized neural network processors and dedicated ASIC blocks:- End-to-end responsibility for applications from algorithm research to integration in customer products- On device SW stack and SW SDK for Neural Network acceleration (Model Optimizer, Compiler, Inference SW library)

Mar 2019 - Oct 2021

Head Of Algorithms For Sensor Activity

Managing 30 algorithm engineers across all products of sensor division. Driving the algorithm strategy and road-map for the division. Leading multidisciplinary Task Forces for tight algorithm/implementation collaboration.

Jan 2017 - Feb 2019
4 education records

Nathan Levy education

Phd, Electrical Engineering

Technion - Israel Institute Of Technology

Master'S Degree Thesis, Mathematics

University Of California, Berkeley

Master’S Degree, Mathematics

Ecole Normale Supérieure

Math, Physics, Computer Science

Henri Iv (Classe Préparatoire Aux Grandes Écoles)
FAQ

Frequently asked questions about Nathan Levy

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

What company does Nathan Levy work for?

Nathan Levy works for Quantum Machines.

What is Nathan Levy's role at Quantum Machines?

Nathan Levy is listed as Director of SW at Quantum Machines at Quantum Machines.

What is Nathan Levy's email address?

AeroLeads has found 1 work email signal at @gm.com for Nathan Levy at Quantum Machines.

Where is Nathan Levy based?

Nathan Levy is based in Center District, Israel while working with Quantum Machines.

What companies has Nathan Levy worked for?

Nathan Levy has worked for Quantum Machines, General Motors, and Samsung Semiconductor Israel R&D Center (Sirc).

How can I contact Nathan Levy?

You can use AeroLeads to view verified contact signals for Nathan Levy at Quantum Machines, including work email, phone, and LinkedIn data when available.

What schools did Nathan Levy attend?

Nathan Levy holds Phd, Electrical Engineering from Technion - Israel Institute Of Technology.

What skills is Nathan Levy known for?

Nathan Levy is listed with skills including Matlab, C, C++, Algorithms, Simulations, Embedded Systems, Research, and Image Processing.

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