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Building Large Scale ML Training Infrastructure @ NVIDIA | Autonomous Vehicles | PyTorch • HPC • Distributed Systems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Åbo Akademi University
Computer Engineering, Embedded Systems, Telecommunications
January 1, 2001 – January 1, 2005
NVIDIA
Senior Software Engineering Manager
July 1, 2021 – Present
NVIDIA
Deep Learning Engineering Manager
August 1, 2017 – August 1, 2021
Oracle
Principal Member of Technical Staff
January 1, 2014 – August 1, 2017
Boulder
Rosetta Stone
Software Developer III
February 1, 2011 – January 1, 2014
Boulder, CO
Ericsson
Software Engineer II
April 1, 2008 – February 1, 2011
Boulder, CO
MediNotes Corporation
Software Engineer
January 1, 2006 – April 1, 2008
Des Moines, Iowa Area
Leading Inclusive Teams
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a long and stable career trajectory with significant tenure at major tech companies like NVIDIA, Oracle, and Ericsson. This indicates loyalty and ability to thrive in established corporate cultures. The diverse project experience, from embedded systems to deep learning and mobile applications, suggests an adaptable individual who can integrate into various technical teams. The target role of ML Engineer aligns well with recent experience at NVIDIA and the Machine Learning certification, indicating a focused career interest.
Soft Skills & Operational Fit
The candidate's career progression to Senior Software Engineering Manager at NVIDIA suggests strong leadership, project management, and team collaboration skills. Experience in diverse technical environments (embedded, mobile, server) indicates adaptability and problem-solving capabilities. However, specific details on operational fit and soft skills are not explicitly provided in the resume descriptions.