In Azure Specialized we are collaboratively working to bring the next generation of workloads to our Public Cloud platform. We work together across Microsoft to enable end to end new scenarios for Azure customers. Our team imagines and builds differentiating customer features and fundamental building blocks at the heart of the Azure platform working collaboratively with many industry partners.

As a Senior Software Engineer, you will be critical in designing and delivering the next generations of Artififcal Intelligence training, Artififcal Intelligence inferencing, virtual desktop, video and gaming infrastructure for Azure. You will be challenged across a wide spectrum of hardware architectures, network types and processor types. You will help define and deliver an end-to-end vertical view, with continuous focus on customer value, quality, performance and automation.

This position involves deep technical work, focusing on defining, deploying and sustaining hardware and software Azure infrastructure for Artififcal Intelligence and other Graphics Processing Unit (GPU) based workloads. The work for this position focuses on hardware/software interaction, coding and playing with next-gen hardware, end-to-end systems engineering anywhere in the infrastructure - from fiber networking, switches, Graphics Processing Unit (GPU) differentiation, rack design, cluster design and more. This position offers a unique opportunity to have a huge impact on customers and the world. It is an exciting time for the team as we are working on expanding the capacity and range of supported scenarios to support the next 100X growth.   

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. 

Responsibilities

• Willing to dive deeply into any level or layer of a problem.

• Willing to learn emerging technologies, from hardware to software. Evaluate and make recommendations that advance Azure infrastructure for Artifical Intelligence and other Graphics Processing Unit (GPU)based workloads.

• Leads by example within the team by producing extensible and maintainable code. 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.

• Maintains communication with key partners across the Microsoft ecosystem of engineers. Ensures alignment with partners' expectations. Considers partner teams across organizations and their end goals for products to drive and achieve desirable user experiences and fitting dynamic needs of partners/customers through product development.

• Drives identification of dependencies and the development of design documents for a product, application, service, or platform.

• Creates, implements, optimizes, debugs, refactors, and reuses code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).

• Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate.

• Other

• Embody our Culture (https://www.microsoft.com/en-us/about/corporate-values) and Values (https://careers.microsoft.com/us/en/culture)

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, PowerShell, or Python

• OR equivalent experience

Preferred Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

• OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

• OR equivalent experience

• 2+ years of experience in HPC or Machine Learning

• Familiarity with Deep Learning, AI Infrastructure

• Experience on High Performance Computing / Machine Learning middleware

• Experience on Co-Designing Hardware-Software

• Familiarity with Accelerators

• Experience on Profiling and Performance Analysis Tools

Software Engineering IC4 - The typical base pay range for this role across Canada is CAD $104,000 - CAD $193,200 per year.

Find additional pay information here:

https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

#azurecorejobs

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .