Fred Haas
About Fred Haas
Fred Haas is the Chief Software Engineer at NI (National Instruments) in Oregon, United States, with over 40 years of experience in the engineering field.
Fred Haas, Chief Software Engineer at National Instruments
Fred Haas is currently the Chief Software Engineer at NI (National Instruments), based in Oregon, United States. He joined NI in July 2020, bringing with him over 40 years of experience in the engineering field. His role involves overseeing software engineering projects and contributing to the development of innovative software solutions.
Fred Haas's Tenure at OptimalPlus as Product Marketing Engineer
From 2017 to 2020, Fred Haas worked at OptimalPlus as a Product Marketing Engineer. During his 3-year tenure, he was responsible for aligning product development with market demands, contributing to the marketing strategy, and ensuring the engineering products met the needs of their target audience.
Fred Haas’s 11 Years at Qualcomm as Senior Staff Engineer/Manager
Fred Haas served as a Senior Staff Engineer and Manager at Qualcomm from 2006 to 2017. Based in the Greater San Diego Area, he was involved in leading engineering projects and managing teams. His work at Qualcomm spanned over a decade, solidifying his reputation as an experienced engineer in the technology industry.
Background: Education and Early Career of Fred Haas
Fred Haas studied at Oregon State University, where he earned a Bachelor’s Degree in Engineering Physics from 1978 to 1981. His early career included roles such as a Reliability Physicist at Fairchild/National Semiconductor and a Senior Field Engineer at Schlumberger Wire Line. These positions laid the foundation for his extensive experience in engineering and technology.
Fred Haas's Experience in Yield Management and Integration Engineering
Fred Haas has extensive experience in yield management and integration engineering, having worked in relevant roles at Integrated Device Technology and Silicon Systems. His work in these positions contributed to his deep understanding of yield optimization and integration processes, which are crucial in semiconductor manufacturing and engineering.