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Software Engineer II

Microsoft
USA
Full-time
Mid · 5+ years experience
Discovered Yesterday
azurecpluspluscsharpjavajavascriptpython
Free

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Analyzes functionality, integration, and performance issues at various levels of the HW/SW stack on current and future generations of AI training platforms. Designs and codes solutions that improve functional correctness, stability and performance of AI training oriented service offerings. When appropriate drives internal partner teams or industry partners to implement such solutions. Optimizes, debugs, refactors, and reuses code to improve performance and maintainability, effectiveness, and return on investment (ROI). Applies metrics to drive the quality and stability of code, as well as appropriate coding patterns and best practices. Holds accountability as a Designated Responsible Individual (DRI), and collaborates with other engineers across products/solutions, working as on-call to monitor system/product/service for degradation, downtime, or interruptions. Develops a playbook for the team to resolve issues. Your mission will be to help ensure Azure platform is consistent on performance, can scale on-demand, and engineered to withstand the unparalleled computing demand from the customer workloads. You will help build a test-driven engineering culture to reduce regressions and bugs in production and will set a higher bar for infrastructure quality. Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Familiarity with Machine Learning, AI Infrastructure Familiarity with Operating Systems fundamentals or server platform architecture Familiarity with Accelerators 1+ years experience on High Performance Computing / Machine Learning middleware

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