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As a Software Engineer II on the MAIA System Infrastructure team, you will play a crucial role in building and optimizing the infrastructure that underpins our observability and data flow infrastructure for MAIA AI accelerators. Your primary focus will be on developing and enhancing the data flows that support our complex data flows across hosts and networks, ensuring they provide accurate and actionable insights into the complex operations of our AI hardware. This role involves working closely with senior engineers to design and implement data flow mechanisms that are efficient, scalable, and capable of handling the intricacies of our advanced accelerator architecture.
Required Qualifications
Other Requirements
Preferred Qualifications
Software Engineering IC3 - The typical base pay range for this role across Canada is CAD $83,600 - CAD $159,600 per year.
Find additional pay information here:
Microsoft will accept applications for the role until February 10, 2025.
In this position, you'll be hands-on in developing and optimizing the infrastructure that enables our observability and debugging tools to function seamlessly across multi-chip, multi-server environments. Your work will directly contribute to how developers interact with, analyze, and optimize AI workloads on our accelerators, ensuring that data transfer and processing are handled with maximum efficiency.
Develop and Optimize Tooling Infrastructure:
Work on the core infrastructure that supports our observability tools, focusing on the data flows and the efficient management of information between host systems and MAIA accelerators.
Implement and refine data transfer mechanisms, ensuring they are optimized for speed, reliability, and scalability across a distributed system of accelerators.
Participate in Building Robust Systems:
Assist in building and maintaining the infrastructure that allows seamless interaction between the tooling stack and the MAIA chips, ensuring reliable data collection and analysis.
Contribute to the development of internal APIs and libraries that facilitate data transfer, processing, and storage, supporting a high-performance observability ecosystem.
Engage with High-Performance Systems Design:
Other
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