Principal Software Engineer

37 Minutes ago • 6 Years + • Full Stack Development

Job Summary

Job Description

Microsoft is seeking a Principal Software Engineer to join its Ads Engineering team. This role focuses on expanding the core capabilities of the Ads serving stack for services like Bing Search, MSN, and Edge Browser shopping. The stack is a low-latency, high-scale, geo-distributed system involving large-scale ML inferencing, real-time bidding, and other components. Responsibilities include developing and maintaining a large-scale distributed CPU/GPU ranking platform, implementing features with high efficiency and reliability, maintaining live service, and acting as a Designated Responsible Individual (DRI) for system monitoring and issue resolution. The ideal candidate has experience in GPU-based distributed system development and optimization, distributed system engineering, and deep learning online system design.
Must have:
  • Bachelor's degree in CS or related field
  • 6+ years of technical engineering experience
  • 3+ years experience in GPU based distributed system development
  • Develop and maintain large-scale distributed CPU/GPU ranking platform
  • Implement features with high efficiency, reliability, and maintainability
Good to have:
  • Familiarity with large scale recommendation system architecture
  • Experience in deep learning online system design
  • Experience in profiling and analyzing distributed system performance

Job Details

Overview

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.

Qualifications

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:


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

 

 

 

#MicrosoftAI

Responsibilities

  • 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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