Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Physical AI & Edge AI Engineering Leader | Intelligent Embedded Systems | Autonomous IoT Architectures
For more than 30 years, I have worked at the intersection of embedded systems, software engineering, IoT and intelligent connected platforms, building technology that bridges the digital and physical worlds. My career has evolved from low-level firmware and SoC platforms to leading multidisciplinary engineering initiatives involving edge computing, secure embedded systems, AI-enabled architectures, cloud-connected infrastructure and autonomous intelligent systems. Today, my primary focus is the emerging field of Physical AI: the convergence of AI, sensing, embedded intelligence, automation and real-world systems. I am particularly interested in how intelligent agents, edge AI and autonomous architectures can transform industries such as industrial automation, agriculture, IoT, remote sensing and intelligent infrastructure. Throughout my career, I have worked across the full technology stack — from silicon bring-up, RTOS runtimes and embedded firmware to distributed cloud systems, intelligent orchestration and AI-driven workflows. This combination of deep technical experience and systems-level thinking allows me to connect strategy, architecture and execution in complex engineering environments. I enjoy leading engineering teams and defining technology vision, architecture and innovation roadmaps, especially in environments where software, hardware, AI and real-world operations intersect. While I have extensive leadership experience, I still value staying technically hands-on, exploring new technologies and building prototypes to better understand the future of intelligent systems. My interests currently include: • Physical AI • Edge AI and Intelligent Embedded Systems • Autonomous Systems and Intelligent Agents • IoT and Cyber-Physical Systems • Remote Sensing and Geospatial Intelligence • AI-driven Automation and Workflows • Intelligent Sensing Platfo
University of Buenos Aires
Specialization in Remote Sensing and Geographic Information Systems Applied to Agriculture, Agricultural Engineering
August 1, 2025 – May 1, 2027
Universidad Católica de Córdoba
MBA, Business Administration
January 1, 2002 – January 1, 2003
Federal University of Rio Grande do Sul
Master, Marketing
January 1, 1998 – January 1, 1999
Universidad Tecnológica Nacional
Postgraduate Course, Software Engineer
January 1, 1996 – January 1, 1997
Universidad de Mendoza
Engineer, Electronics
January 1, 1980 – January 1, 1986
Alif Semiconductor
Lead Security Tools for next-generation embedded and AI-enabled platforms.
May 1, 2020 – Present
San Francisco Bay Area · Hybrid
Stanford University
Instructor, Stanford Continuing Studies
April 1, 2020 – Present
Stanford, California, United States
Toshiba Memory America, Inc. (TMA)
Director of Engineering, IoT & ML at the Edge
January 1, 2018 – February 1, 2019
San Jose, CA
Toshiba America Electronic Components, Inc.
Director of Engineering, IoT & Embedded Systems
May 1, 2015 – December 1, 2017
San Jose, CA
Easy IoT - The easiest way to build IoT Solutions
Head Of Engineering
March 1, 2015 – Present
San Francisco Bay Area
ARM
IoT - Staff Embedded Software Engineer
March 1, 2014 – May 1, 2015
San Jose, CA
NXP Semiconductors
System Architecture Manager for Sensor Hubs
July 1, 2013 – February 1, 2014
San Jose, CA
NXP Semiconductors
Sr. Systems Design Engineer
September 1, 2010 – June 1, 2013
San Jose, CA
NXP Semiconductors
Sr. Applications Engineer
January 1, 2007 – January 1, 2010
San Jose, CA
The Embedded Internet Book
Author of "The Embedded Internet" book
March 1, 2004 – June 1, 2015
http://www.embeddedinternet.org
IntraMarket
Director Product Marketing
January 1, 2003 – January 1, 2007
ARGENTINA
COFAM
Director Software Engineering
January 1, 1998 – January 1, 2003
Mendoza, ARGENTINA
HIGH-TEC Ingenieria SRL
General Manager
January 1, 1987 – January 1, 1998
Mendoza, ARGENTINA
NCR Corporation
Hardware Technician
January 1, 1983 – January 1, 1987
Mendoza, ARGENTINA
IBM AI Engineering Specialization
IBM
June 24, 2026 – Present
Building Deep Learning Models with Tensorflow
IBM
June 24, 2026 – Present
Introduction to Deep Learning & Neural Networks with Keras
IBM
June 24, 2026 – Present
Scalable Machine Learning on Big Data using Apache Spark
IBM
June 24, 2026 – Present
Design Thinking for Innovation
University of Virginia Darden School of Business
June 24, 2026 – Present
Deep Neural Networks with PyTorch
IBM
June 24, 2026 – Present
Machine Learning with Python
IBM
June 24, 2026 – Present
edX Verified Certificate for Agile Software Development
edX
June 24, 2026 – Present
edX Verified Certificate for Fundamentals of Six-Sigma: Quality Engineering and Management
edX
June 24, 2026 – Present
edX Verified Certificate for "Computer Vision Introduction: Application Development using OpenCV"
edX
June 24, 2026 – Present
edX Verified Certificate for Data Science and Machine Learning Essentials
edX
June 24, 2026 – Present
edX Verified Certificate for The Analytics Edge
edX
June 24, 2026 – Present
edX Honor Code Certificate for Tackling the Challenges of Big Data (February 3, 2015 - March 17, 2015)
edX
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a blend of deep technical roles (ARM, NXP, Alif Semiconductor) and leadership/strategic positions (Toshiba, Easy IoT, IntraMarket, COFAM). This indicates a potential fit for organizations that value both hands-on technical expertise and strategic vision. The involvement in teaching and authoring a book suggests a proactive approach to knowledge sharing and continuous learning. The breadth of experience across different companies and roles, including startups and large corporations, points to adaptability. However, the candidate's most recent experience at Alif Semiconductor ended in 2020, and the current role is not specified, which might require further clarification regarding recent hands-on firmware development.
Soft Skills & Operational Fit
The candidate's experience as an instructor at Stanford University and author of a technical book suggests strong communication and knowledge transfer skills. Leadership roles indicate experience in team management, project planning, and strategic development. The diverse roles from hardware technician to director of engineering demonstrate adaptability and a broad operational understanding. However, specific details on collaboration styles or stress handling are not available from the provided data.