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Daniel Moses Email & Phone Number

Lead Perception Software Engineer and Architect at NVIDIA at NVIDIA
Location: Cupertino, California, United States 11 work roles 2 schools
1 work email found @nvidia.com LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

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Current company
Role
Lead Perception Software Engineer and Architect at NVIDIA
Location
Cupertino, California, United States

Who is Daniel Moses? Overview

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Quick answer

Daniel Moses is listed as Lead Perception Software Engineer and Architect at NVIDIA at NVIDIA, based in Cupertino, California, United States. AeroLeads shows a work email signal at nvidia.com and a matched LinkedIn profile for Daniel Moses.

Daniel Moses previously worked as Lead Perception Software Engineer and Architect at Nvidia and Staff Computer Vision and Image Processing Software Engineer in Research at Qualcomm. Daniel Moses holds Master Of Science (Msc), Computer Science from University Of South Florida.

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{first_initial}{last}@nvidia.com
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Profile bio

About Daniel Moses

Daniel Moses is a Lead Perception Software Engineer and Architect at NVIDIA at NVIDIA. He possess expertise in r&d, c, c++, object oriented design, software development and 33 more skills.

Listed skills include R&D, C, C++, Object Oriented Design, and 34 others.

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Daniel Moses's current company

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NVIDIA
Nvidia
Lead Perception Software Engineer and Architect at NVIDIA
Santa Clara, CA
Website
AeroLeads page
11 roles · 33 years

Daniel Moses work experience

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Lead Perception Software Engineer And Architect

Current

Santa Clara, CA, US

  • Computer Vision, Deep Learning, Sensor Fusion in Self Driving Cars
  • Modeling and Prototyping algorithms and perception systems (C++, Matlab, Python)
  • Architecting perception system from requirements, through modeling, prototyping, sensor specification, designing data collection plan and implementation for key L4 Project. Impacting multiple orgs, central and.
  • Implementing and evaluating prototype algorithmic components in the perception stack
  • Full view on the end to end solution including Algorithms, sensor software pipeline, mechanical and hardware.
  • Algorithms, C++, Matlab, Python, Camera, Lidar, Radar, Camera Image Quality, Point Clouds, DNN, Sensor Fusion, Particle Filters, Kalman Filters, Hidden Markov Model (HMM)
Jan 2016 - Present

Staff Computer Vision And Image Processing Software Engineer In Research

San Diego, CA, US

  • Computer Vision Algorithm development (Matlab) and implementation/optimization in software (C++/OpenCV/OpenCL) and hardware (FPGA/Verilog) - 3D Reconstruction, SLAM, Automatic Scene Detection, Face Recognition.
  • Image Processing and Camera R&D - Multi-Camera setups including stereo images, structured light, Depth cameras, gesture recognition
  • Complete End-to-End Computer Vision related Robotic system design including Concept, Industrial, Mechanical, Hardware and Software
  • Designed from concept to 4th iteration prototype of the QKitchenChef IoT Multimedia Technology Demonstrator device for Image processing, Computer Vision and Audio Technologies which included complete Software, Hardware.
  • Software Development, Algorithms, C++, Computer Vision(CV), Camera, Image Processing, Digital Signal Processing, Artificial Intelligence (AI), Android, Linux Device Drivers, Linux Kernel, Java, Matlab, Deep Neural.
Mar 2010 - Dec 2015

Senior Software Engineer

Santa Clara, California, US

  • Developed new features for the In-Target Probe Run Control platform
  • C++, Embedded Systems, JTAG, x86 assembly, COM, Windows API, Python
2009 - 2010 ~1 yr

Senior Audio/Video Software Engineer

Vancouver, BC, CA

  • Improved the company’s softphone Acoustic Echo Cancellation on the Mac Book Pro integrated microphone and speakers Implemented real-time compressed audio/video call recording feature on the soft-phone for up to 4.
  • Worked with customers on fixing audio and video quality issues on their custom network including ticks, breaks, streaming issues and adding codec support
  • C++, Objective-C, DSP, SIP, RTP, Audio/Video Codecs, Core Audio, Xcode, Matlab
2008 - 2008

Senior Artificial Intelligence Software Engineer In Research

Saint-Mandé, Île-de-France, FR

  • Research novel AI technologies for Autonomous Vehicle Navigation in games
  • Prototyped an Architecture for Autonomous Vehicle Navigation based on a Neuro-Fuzzy System for Shawn White Snow Boarding Game
  • Designed the First Full-Scale Neuro-Fuzzy Next-Gen AI Architecture in the Game Industry
  • Applied the Neuro-Fuzzy Architecture to the Shaun White Snowboarding game
  • Designed the Algorithm so that it supports parallel and vectorized execution on PS3 and Xbox 360
  • Fuzzy Systems, Neural Networks, C++, C#, Matlab, Algorithms, Machine Learning
2006 - 2007 ~1 yr

Artificial Intelligence Software Engineer

Redwood City, CA, US

  • Research novel AI technologies for Autonomous Vehicle Navigation in games
  • Prototyped an Architecture for Autonomous Vehicle Navigation based on a Neuro-Fuzzy System for Need for Speed Car Racing Game
  • Developed a Fuzzy Kernel Algorithm that architecturally offers the option to utilize the PS3 and Xbox 360 vector execution units
  • Fuzzy Systems, Neural-Networks, Genetic Algorithms, PS3, Xbox 360, C# and C++, Matlab, Algorithms, Machine Learning
2005 - 2006 ~1 yr

Embedded Software Engineer

Chatsworth, CA, US

  • Developed a BIST device driver for a flight single-board-computer complying with the DO-178 specifications
  • Project lead and co-developer for a full file system read/write emulation device driver for a 256GB flash card
  • Real-Time Embedded, VxWorks, GreenHills Integrity, Do-178, C and C++
2004 - 2004

Embedded Software Engineer

Herzliya, Herzliya, IL

  • Developed a TDM device driver for the company’s WiMax SoC
  • Real-Time, Embedded Linux, Wireless Networks 802.16(WiMax), C and C++, Assembler, Visual C++, ARM
2003 - 2004 ~1 yr

Audio Digital Signal Processing Software Engineer

Sunnyvale, California, US

  • Sound quality measurement, evaluation and improvement using Audio Precision 2 analysis tool
  • Certified with Dolby the quality of the Audio on the set-top box
  • Ported and optimized the Audio decoders (AC-3, AAC, MPEG) and post processing units (Prologic, Surround sound etc.) to an Audio DSP processor
  • Developed a DirecTV transport stream device driver and de-multiplexer firmware for the set-top box
  • Real-Time, DSP, C, Assembler, MIPS, VxWorks, Embedded Linux, Logic Analyzer, Oscilloscope, Set-Top Box, Matlab, Audio Precision 2
2001 - 2002 ~1 yr

Platform Validation Engineer

Santa Clara, California, US

  • Debugging and Validation of Hardware Platforms including Signal Integrity and Logic Timing Issues
  • Developed Software for Random based Chipset and System Validation
  • Developed device drivers for custom in-house designed test cards
  • PCB Bring-up, Hardware Debug, Schematic Review, Logic Timing, Signal Integrity, C++, Device Drivers, Assembler, Logic Analyzer Oscilloscope
1999 - 2001 ~2 yrs

Architectural Validation Engineer - Student

Santa Clara, California, US

  • RTL validation using targeted assembly programs for each x86 related feature
  • In-depth understanding of x86 architecture including: caches, execution pipeline, OS support features such as segmentation (GDT, LDT), paging, protection levels, TLB, BTB, Interrupt Handling (APIC, IDT), SIMD MMX etc.
  • HDL, Logic Timing Simulation, C, x86 Assembler
1993 - 1997 ~4 yrs
Team & coworkers

Colleagues at NVIDIA

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

2 education records

Daniel Moses education

Master Of Science (Msc), Computer Science

University Of South Florida

Bachelor Of Science (Bsc), Computer Engineering

Technion - Israel Institute Of Technology
FAQ

Frequently asked questions about Daniel Moses

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

What company does Daniel Moses work for?

Daniel Moses works for NVIDIA.

What is Daniel Moses's role at NVIDIA?

Daniel Moses is listed as Lead Perception Software Engineer and Architect at NVIDIA at NVIDIA.

What is Daniel Moses's email address?

AeroLeads has found 1 work email signal at @nvidia.com for Daniel Moses at NVIDIA.

Where is Daniel Moses based?

Daniel Moses is based in Cupertino, California, United States while working with NVIDIA.

What companies has Daniel Moses worked for?

Daniel Moses has worked for Nvidia, Qualcomm, Intel Corporation, Counterpath, and Ubisoft.

Who are Daniel Moses's colleagues at NVIDIA?

Daniel Moses's colleagues at NVIDIA include Juan Sebastián Rodríguez Páez, Braulio Villa, Khalid Khatib, Pablo Ortega, and Rajat Ajit Javali.

How can I contact Daniel Moses?

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

What schools did Daniel Moses attend?

Daniel Moses holds Master Of Science (Msc), Computer Science from University Of South Florida.

What skills is Daniel Moses known for?

Daniel Moses is listed with skills including R&D, C, C++, Object Oriented Design, Software Development, Embedded Systems, Fpga Prototyping, and Rapid Prototyping.

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