Job Description

Develop engineering-quality high-level models to evaluate total cost of ownership (TCO), performance, power, and sustainability, enabling data driven decisions to assess and compare platform and SOC technologies for future datacenter solutions. Build KPI models for Azure SaaS segments (such as M365, MS-SQL, and CosmosDB) to guide architecture decisions and enable effective hardware/software co-design. Analyze cloud workload taxonomy to identify and categorize different workload types, and determine which SOC or platform features best support each workload category, enabling targeted architectural recommendations for optimal performance and efficiency. Analyze fleet telemetry data to enhance Total Cost of Ownership (TCO) models. Support the development of sustainability metrics and integration into architectural tradeoffs. Master's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 3+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 5+ years technical engineering experience OR equivalent experience. 3+ years of relevant experience in hardware engineering and computer architecture. 3+ years of experience with programming and scripting languages (C or Python). These requirements include but are not limited to the following specialized security screenings: Experience with server platform and workload analysis. Experience with Compute SOC performance and power analysis. Experience with TCO (Total Cost of Ownership) modeling. Expertise in high level modeling and simulation of architecture features. Expertise in Data Analysis and knowledge of sustainability metrics. Demonstrated ability to analyze complex information, solve problems creatively, and communicate ideas clearly through effective documentation and collaboration.

Skills Required