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Cloud Performance Modelling Engineer
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This is a unique opportunity to be part of a highly capable and motivated cross-disciplinary team responsible for delivering cutting-edge, highly efficient solutions to power Microsoft's next-gen datacentres and computing needs.
Key Responsibilities- Develop and/or extend functional and timing models of complex SOCs and validate them against other models or hardware reference systems
- Understand the operation of complex datacentre workloads
- Build, document and maintain internal tools, scripts and analysis methods as needed to carry out robust and automated performance analysis
- Utilize external and internal tools to characterize, profile and analyse key cloud workloads
- Define the next generation computer architecture for the cloud at all levels of innovation to create a datacentre that is truly optimized (performance, power, and cost) for Azure's cloud critical workloads
- B.S. in Computer Engineering or related field or equivalent experience (M.S. or Ph.D. desirable) with a minimum of 4 (3 or 1) years of relevant experience
- Proficiency in computer/SoC architecture, micro-architecture, workload analysis, bottleneck analysis and performance trade-offs
- Functional and Timing Model development and analysis experience for Arm, x86 and RISCV ISAs
- Excellent (written and verbal) communication and collaboration skills in English
- C/C++ & Python programming skills
- Experience using modern software development techniques and workflows such as continuous integration and continuous delivery
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