Dmitry Chichkov
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Software Engineer, Robotics @ NVIDIA
Software Engineer and Applied Researcher, applying Deep Learning to build systems from 2010, two years before AlexNet, a decade before it became mainstream. I'm currently with applied research at NVIDIA. MSCS [2003], U.S. citizen, private pilot. C/C++/Python/Prompt. Industry track publications/talks: NIPS 2010, PAN/CLEF 2010, CVPR 2016, NIPS 2017. Engineering experience in the following fields: Natural Language Processing (2009), Computer Vision (2010-12), High-Frequency Trading (2012-16), AR & Computer Vision (2016-17), Language Models applied to Code (2017), Autonomous Driving (2017-18), Robotics (2019-2022), Robotics and VLMs (2022-Present).
Stanford University
Continuing Studies, post-graduate, Data Mining and Applications
January 1, 2010 – January 1, 2012
Bauman Moscow State Technical University
Master Degree, Computer Science
January 1, 1997 – January 1, 2003
NVIDIA
Senior Software Engineer, Robotics @ NVIDIA
May 1, 2019 – Present
San Francisco Bay Area
NVIDIA
Senior Solution Architect @ NVIDIA
August 1, 2017 – April 1, 2019
San Francisco Bay Area
Articoder
Founder. Research Engineer.
March 1, 2017 – Present
Sunnyvale, CA
DAQRI
Senior Computer Vision Engineer
January 1, 2016 – March 1, 2017
Sunnyvale, CA
XAMBALA
Senior Software Engineer, High Frequency Trading
April 1, 2012 – October 1, 2016
Sunnyvale
flutter.io
Research Engineer, Founding Team member
December 1, 2010 – February 1, 2012
Palo Alto, CA
SonicWALL, Inc.
Staff Software Engineer
January 1, 2008 – January 1, 2011
Mountain View, CA
Linkbit Inc.
Senior Software Engineer (full time), Technical Advisor (part time)
October 1, 2004 – January 1, 2012
Santa Clara, CA
Technotest Inc.
Lead Software Engineer
January 1, 2003 – January 1, 2004
Moscow, Russia
LaudLink Inc.
Software Developer (Intern/Part Time position)
January 1, 2000 – January 1, 2003
Moscow, Moscow City, Russia
PRAIS Telecom
Software Engineer, Intern
January 1, 1997 – January 1, 1998
Moscow, Moscow City, Russia
OKB MEI
High School Student, Intern. in the student team, under OKB MEI supervision
January 1, 1996 – January 1, 1996
Moscow, Moscow City, Russia
-
Middle School Student, Intern. in the Medical Test Equipment Company
January 1, 1992 – January 1, 1994
Moscow, Moscow City, Russia
Introduction to Artificial Intelligence
AI Class. Sebastian Thrun, Ph.D. & Peter Norvig, Ph.D.
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across robotics, self-driving cars, augmented reality, high-frequency trading, and even early telecom/medical equipment development demonstrates a broad interest in challenging technical domains. The continuous learning (Stanford, AI Class) and entrepreneurial spirit (Articoder, flutter.io founding team) suggest a proactive and growth-oriented mindset. The long career trajectory indicates stability and commitment, which are positive cultural indicators. The candidate's experience with cutting-edge technologies like LLMs and Omniverse at NVIDIA also shows an ability to stay current and adapt to new paradigms.
Soft Skills & Operational Fit
The candidate's extensive experience in R&D, team leadership, and founding roles suggests strong problem-solving, innovation, and initiative. The descriptions of working in agile teams and sharing research/engineering roles indicate adaptability and collaborative potential. The long tenure in demanding technical fields implies resilience and a strong work ethic.