About

Dylan Zika is a versatile Product Manager at Google with over 5 years of relevant experience. He holds a Masters degree in Computer Architecture from The University of Texas at Austin, with a technical emphasis on software use-cases and hardware design. Dylan's technical Master's was supported with key MBA foundations in Entrepreneurship, Marketing, and Technology Strategy. Dylan's passion for technologies is broad, with talents spanning hardware, software, and business strategy. He has experience in setting product vision, new product development and launches, competitive strategy, field enablement, market segmentation and forecasting, machine learning benchmarks and industry standards creation, and machine learning use-cases and applications in vision, voice, and vibrations or other time-series data. He is also experienced in computer engineering, including software and hardware, performance analysis of ARM CPU microarchitecture, power and performance analysis of novel network on chip (NoC) designs, GPU system architecture tradeoffs, microarchitecture ALU design tradeoffs of CMOS vs QCA, and performance analysis of embedded IOT applications. Currently, Dylan is working at Google in the Machine Learning group in product management, influencing the product roadmap, driving AI solution adoption through partner meetings, and supporting competitive strategy and market forecasting. He is also creating an industry standard way to measure performance for ML across the industry with ML Perf in his spare time. Previously, Dylan has worked as a Product Manager at Arm, where he delivered a 2-year Ethos-N NPU hardware-software driver roadmap with a 20 person team with over 60 priority initiatives to fit within available resources. He has also worked as a Hardware Verification Engineering Intern at Nvidia, where he developed and executed pre-silicon verification requirements for SOC level testing on modern architectures. Dylan's current role at Google involves developing a family of 1P Pixel products (phones, wearables, and other connected devices), that demonstrate the best of Google AI software and hardware. He creates disruptive technologies that are radically helpful to users in the domains of Camera, Speech and Training. He streamlines machine learning product requirements and KPIs, creates actionable (Product Requirements Documents) PRDs, delivers product excellence and engineering quality at key development milestones, and evaluates product and feature improvements to assess product readiness for launch using holistic market analysis (PPA, HW, SW, etc). Dylan's tech stack includes product management, ML, AI, and test. He is confident that his unique perspective on life has enabled him to tackle challenging