Overview
Do you want to be at the forefront of innovating the latest hardware designs to propel Microsoft's cloud growth? Are you seeking a unique career opportunity that combines both technical capabilities, cross team collaboration, with business insight and strategy? Join our Strategic Planning and Architecture (SPARC) team within Microsoft's Azure Hardware Systems & Infrastructure (AHSI) organization and be a part of the organization behind Microsoft's expanding Cloud Infrastructure and responsible for powering Microsoft's "Intelligent Cloud" mission. Microsoft delivers more than 200 online services to more than one billion individuals worldwide and AHSI is the team behind our expanding cloud infrastructure. We deliver the core infrastructure and foundational technologies for Microsoft's cloud businesses including Microsoft Azure, Bing, MSN, Office 365, OneDrive, Skype, Teams and Xbox Live. The SPARC organization manages Azure's hardware roadmap from architecture concept through production for all of Microsoft's current and future online services. This role is for a highly motivated Senior AI Hardware Architect with a solid background in neural networks and hardware implementation. You will be involved with both model development, data type analysis, ML/HW co-design. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Responsibilities
- Analyse Hardware Architecture for AI workloads.
- Architecting large scale systems which support breakthrough performance AI workloads to shape Azure's AI infrastructure roadmap.
- Benchmark GPUs and other AI hardware IPs.
- Drive NN model/HW co-design.
- Understand business critical AI workloads/applications.
- Developing and analysing novel NN architectures.
- Embody our culture and values.
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