Senior Software Engineer

Reposted 39 Minutes Ago
Be an Early Applicant
Hiring Remotely in United States
Remote
120K-261K Annually
Senior level
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
The Role
Design, implement, and optimize low-level software for Azure HPC/AI VMs. Diagnose HW/SW integration and performance issues, drive cross-team solutions, maintain service stability, and develop operational playbooks.
Summary Generated by Built In
Overview

Azure High Performance Computing and AI Platform (HPC/AI) group is the team behind Azure’s cloud offering that powers some of the most demanding and largest scale AI training and inference workloads in the industry. The virtual machine (VM) series that our team owns combine cutting edge GPUs and accelerators, as well as a state-of-the-art scale-out network infrastructure to enable these workloads. We collaborate with many Microsoft teams and our industry partners to design and bring up the underlying platform, and we build the software to expose this platform as an Azure service.

As a Senior Software Engineer in the Azure HPC/AI team, you will play a critical role in designing and delivering the next generations of our platform by solving technical problems at all levels of the stack, contributing to our codebases to enable new features on our VMs, working on architectural proposals, and collaborating with our industry partners.

This position involves deep technical work that primarily focuses on hardware/software interactions, device virtualization, and performance analysis of GPU workloads in VMs. Since our team is also responsible for the vertical integration of our VM offerings, you will also have the opportunity to work with upper layers of the Azure infrastructure software.
It is an exciting time for the team as we are working on expanding the capacity and range of supported scenarios to fuel the next growth wave. This position offers a unique opportunity to have a huge impact on Microsoft’s AI infrastructure and AI initiatives.


Responsibilities
  • 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 VM offerings and related services. 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.
  • Maintains communication with key partners across the Microsoft ecosystem of engineers.

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++, C#, OR Java, JavaScript, or Python
    • OR equivalent experience.

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:

  • 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 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 equivalent experience. 
  • Familiarity with AI Infrastructure
  • Familiarity with Operating Systems fundamentals and virtualization technologies
  • Experience on Distributed Systems
  • Experience on High Performance Computing / Machine Learning middleware

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.



Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Skills Required

  • Bachelor's degree in Computer Science or related field AND 4+ years technical engineering experience with coding in C, C++, C#, Java, JavaScript, or Python, or equivalent experience
  • Ability to meet Microsoft Cloud Background Check and related security screening requirements
  • Master's degree in Computer Science or related field AND 6+ years technical engineering experience, OR Bachelor's AND 8+ years technical engineering experience (preferred alternate senior experience)
  • Familiarity with AI infrastructure
  • Familiarity with operating systems fundamentals and virtualization technologies
  • Experience with distributed systems
  • Experience with high performance computing / machine learning middleware

Microsoft Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.

  • Fair & Transparent Compensation Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
  • Retirement Support Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
  • Parental & Family Support Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.

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Year Founded: 1975

What We Do

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