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SharkNinja: Automous Robot Vacuums
Project Type
Professional Experience
Date
July 2020 - December 2020
Location
Needham, MA
Technical Skills
Root Cause Analysis: Proficient in diagnosing hardware failures and troubleshooting LiDAR data processing malfunctions
Data Collection & Analysis: Collected and analyzed user data to identify product preferences and areas of malfunction using Excel and Minitab
"Soft" Skills
Adaptability: Capable of adapting testing needs while operating under limited resources to meet tight production deadlines
Self-Directed: Given the in-person nature of this work during a time when quarantine restrictions limited office access, I typically worked independently while much of my team and supervisors were remote
Please Note
Due to NDA, I am limited in the technical details and visuals I can share regarding certain projects. However, the content presented below fits the confines of the NDA and is publicly available.
As a QA Engineering Co-op in SharkNinja's Robotic Vacuum division, I was responsible for ensuring the reliability and functionality of autonomous vacuum systems, focusing on performance validation, hardware-software integration, and data analysis. My role involved troubleshooting hardware and software issues, simulating robotic navigation environments, and adapting testing protocols to maintain production schedules. I worked cross-functionally with engineering teams to identify design flaws and enhance the product's navigation intelligence. My contributions within this role helped validate the Shark vacuum's performance over its competitors, prevented launch postponement due to quality issues, and identified key test case failures in its intelligent LiDAR navigation.
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