Ryan Averill Email and Phone Number

Successfully delivered system platform simulators (Simics virtual platform) to support all product segments in order to enable teams to develop/test platform software such as BIOS, firmware, and operating systems prior to silicon availability. Currently focused on delivering simulation platforms for next-gen Xeon server products. Team focused on domains such as boot & reset, power management, out-of-band manageability and telemetry, RDIMM memory, PCIe and CXL.Managing a team across multiple geographies to deliver on schedule while continuing to develop the talent in the team and recruit new leads and developers.Developed strategy of enabling and integrating complex system flows across FW/SW ingredients in simulation.Established gen over gen improvements with firmware and OS teams to increase coverage and efficiency.

Owned and developed executive messaging ranging from internal conferences to industry keynotes, as well as coordinating content with external executive.Established corporate initiative through strategic development, recruitment, and task force leadership to accelerate software development activities ahead of silicon availability in order to reduce time to market.Developed site strategy in response to corporate change and transformation in order to work through multiple site closures.Drove engineering relationships with datacenter customers to accelerate systems development workflows.

Managed embedded systems and compiler teamExperienced in hiring/developing/mentoring/coaching engineers and managersDeveloped and managed a multi-discipline organization comprised of computer architects, software engineers, driver developers, hardware engineers, and lab technicians.Consistently highest ranked manager in department based on manager feedback toolExperience managing through change, working through ambiguity, and excellent problem solving skillsPlanned and managed budget for the organization which exceeded $1.5M in non-headcount related spending

Designed, implemented, and supported an automation framework on a distributed 100 node compute cluster in C#, C/C++, VisualTest, SQL Server, and Perl.Developed statistical methodologies to characterize software workload performance through k-means clustering methods.Analysis of instruction traces for simulation to drive microarchitecture design tradeoff analysis and decision-making.Experience developing web based tools in C#, ASP.net, IIS, and SQL Server.