header alt image test
Microloft Logo

Microloft

Senior Software Engineer

Reposted An Hour Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
120K-261K Annually
Senior level
Remote
Hiring Remotely in United States
120K-261K Annually
Senior level
Design, implement, and debug low-level software for Azure HPC/AI VMs, focusing on hardware/software interactions, device virtualization, and GPU workload performance. Drive architecture, collaborate with partners, own reliability as an on-call DRI, and develop operational playbooks to improve stability and performance.
The summary above was generated by AI
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.

Similar Jobs at Microloft

An Hour Ago
Remote
United States
120K-261K Annually
Senior level
120K-261K Annually
Senior level
Automation
Senior Software Engineer to design and build next-generation networking infrastructure for large-scale AI training on Azure. Own architecture, produce secure, high-performance code, create test strategies, use AI tools for development and automation, lead code reviews, and collaborate across teams to ensure scalability, reliability, and security.
Top Skills: AzureCC#C++High Performance NetworkingInfinibandJavaJavaScriptNvlinkPythonRoce
Yesterday
Remote
United States
143K-331K Annually
Senior level
143K-331K Annually
Senior level
Automation
Design, implement, test, and operate production-quality AI framework components, benchmark and optimize large-model training and inference on GPUs and Microsoft silicon, build automation and observability, drive cross-team projects from definition through deployment, and mentor engineers to improve model onboarding, performance, reliability, and platform efficiency.
Top Skills: Amd GpusAzureC++CudaMicrosoft SiliconNvidia GpusOnnx RuntimePythonPyTorchRocmTensorFlowTriton
Yesterday
Remote
United States
120K-261K Annually
Senior level
120K-261K Annually
Senior level
Automation
Design, build, and operate large-scale distributed host networking systems for Azure. Develop and maintain host agent services for network configuration, connectivity, and traffic orchestration. Improve reliability, observability, and deployment safety; lead incident root-cause analysis; drive architecture and mentor engineers.
Top Skills: ArpAWSAzureCC#C++DhcpDnsDual-NicGoGCPHost NetworkingHypervisor NetworkingJavaJavaScriptLoad BalancingNatNdpPythonRoutingRustSdnSmartnicSnatTcp/IpVirtualization

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account