Microsoft

Principal Software Engineer

Vancouver, British Columbia Canada
USD 135k - 253k
Deep Learning C++ C#
Description
We are hiring a Principal Software Engineer on the Ads Engineering team to help expand the core capabilities of the Ads serving stack that powers ads on several online services ranging from Bing Search, MSN, Start.com, Edge Browser shopping, etc. The stack is a low-latency, high-scale geo-distributed system with multiple moving parts that include but not limited to large-scale ML inferencing infrastructure that rank ad-listings to real-time bidding infrastructure and other components to power a wide variety of Ad serving scenarios and use cases.


This is an exciting opportunity to participate in the innovation and evolution of the stack, at a scale and pace very few other places can match. The challenges are plenty and the problems are varied from building new features to optimizing components of the entire stack as every millisecond matters to us, to building support infrastructure to run services in containers at scale. You will be part of a passionate and growing team that takes pride in their work. You will own and drive large feature areas and collaborate with some of the best engineers across the world. If you are someone that loves to tackle deep technical challenges and thrive in a fast-paced environment, then this is the place to be!

 

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.

Required Qualifications:

  • Bachelor'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++ or C#
    • OR equivalent experience.
  • 3+ years experience in GPU based distributed system development and optimization.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

  • Familiarity with large scale recommendation system architecture.
  • Experience in distributed system engineering and high-performance programming.
  • Experience in deep learning online system design, implementation and qualification.
  • Experience in profiling and analyzing distributed system performance and capacity bottlenecks.

 

Software Engineering IC5 - The typical base pay range for this role across Canada is CAD $135,800 - CAD $253,000 per year.

 

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

Microsoft will accept applications for the role until April 25, 2025.

 

 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

 

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

 

#MicrosoftAI

  • Develops and maintains a large-scale distributed CPU/GPU ranking platform to support real-time processing for millions of requests per second.
  • Implements the features with high efficiency, extensibility, diagnosability, reliability, and maintainability with few defects.
  • Maintains operations of live service as issues arise on a rotational, on-call basis. Identifies solutions and mitigations to simple and complex issues and escalates as necessary.
  • Acts as a Designated Responsible Individual (DRI) working on call to monitor system/product feature/service for degradation, downtime, or interruptions.
  • Responds within Service Level Agreement (SLA) timeframe. Escalates issues to appropriate owners.

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