Eric Olson
Boeing
- Role
- Product Development, Systems Engineer and Mbse Practitioner at Boeing
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Eric Olson
20+ years of aerospace engineering and military aviation experience, including 15+ years in systems analysis, certification, and safety at Boeing.Leadership and Mentorship: Over 10 years as supervisor, lead engineer, and project manager; proven record leading multi-discipline engineering teams and mentoring early-career engineers.System Safety Expertise: Experienced in Functional Hazard Assessments (FHAs), FMEAs, Fault Tree Analysis (FTA), and related safety processes.Model-Based Systems Engineering (MBSE): Program focal for MBSE implementation in propulsion; pioneered automation and AI-based tools to streamline compliance verification and safety analysis.Cross-Functional Influence: Liaison to suppliers, regulators, and internal leadership to evaluate, resolve, and communicate complex safety and certification issues.Operational Background: Retired U.S. Navy Naval Flight Officer with over 1,500 flight hours; deep understanding of human-machine interface, flight operations, and systems behavior in operational contexts.
Experience
Product Development, Systems Engineer and Mbse Practitioner
Jan 2022 — Present · Everett, WA, US
Propulsion MBSE Focal for — led an 8-person cross-functional engineering team in developing functional and logical architectures aligned with safety assurance and certification requirements using Agile Scrum practices.Principal Investigator for demonstrator project integrating MBSE and systems modeling using SysML in Dassault Cameo/MSOSA integrating with functional modeling, simulation and hardware-in-the-loop (HiL) lab testing.Chief Engineer for Accident Investigation Simulation exercise designed to teach early-career engineers accident investigation skills.Experienced technical writer - co-author on three papers furthering MBSE best practices accepted for the 2026 Boeing technical conference (EDGE).Developed AI/LLM process to train a neural net (NN) to perform data sentiment analysis using a Matlab workflow. The NN completed data validation on requirements resulting in savings of hundreds of engineering hours.Authored enterprise process for requirements tagging in IBM DOORS and trained product teams across the Propulsion division.Partnered with Safety, Systems, and Certification teams to align MBSE outputs with safety analyses (FHAs, FMEAs, FTA) and digital twin requirements for continued operational safety.Engaged with enterprise MBSE and safety integration initiatives to define digital safety assurance practices for future airplane programs.
Education
University of Washington
MSME, Mechanical Engineering
2004 — 2006
Massachusetts Institute of Technology
Professional Certificate Program, Systems Engineering
2016 — 2017
Portland State University
BSME, Mechanical Engineering
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