Summary
Daniel Moore is a Senior Staff Software Engineer with 12 years of hands-on experience building Linux kernel and embedded systems, currently driving hardware-near software at Abbott from his base in Plano, Texas. He has led multidisciplinary embedded C++ teams and delivered across platforms from microcontrollers to complex radar systems, blending requirements ownership with development and test accountability. Daniel specializes in bringing machine learning into resource-constrained devices, pairing real-time algorithm design with careful performance analysis of CPU, memory, bus bandwidth and power. His background spans product launches and board bring-up through to high-assurance defense work at Northrop Grumman and sensor hub innovations at Motorola. An MBA in Finance complements his technical pedigree, giving him pragmatic product and business perspective on engineering trade-offs. Notably, he combines physical-design experience early in his career with deep firmware expertise, enabling rare cross-domain fluency from silicon timing to embedded ML.
12 years of coding experience
15 years of employment as a software developer
Master of Business Administration - MBA, Finance, General, Master of Business Administration - MBA, Finance, General at Florida Institute of Technology
Bachelor’s Degree, Computer Engineering, Bachelor’s Degree, Computer Engineering at Purdue University