Microsoft Logo

Microsoft

Senior Software Engineer

Reposted 4 Days Ago
Remote
Hiring Remotely in United States
120K-261K Annually
Senior level
Remote
Hiring Remotely in United States
120K-261K Annually
Senior level
Design and implement high-performance networking infrastructure for large-scale AI training on Azure. Lead architecture, produce secure, maintainable code, define test strategies, use AI tools for development and automation, review code, and collaborate across teams to ensure performance, scalability, reliability, and observability.
The summary above was generated by AI
Overview

The HPC/AI (High performance Computing and Artificial Intelligence) team is on a mission to build the next-generation distributed AI supercomputer, enabling breakthroughs in artificial intelligence by delivering unmatched computational power, scalability and reliability. We design and develop cutting-edge infrastructure that supports high-performance AI model training at scale, laying the foundation for innovations that redefine what AI can achieve.

We are seeking passionate and innovative software engineers to design and build cutting-edge networking infrastructure that powers large-scale AI training. This role focuses on developing next-generation networking capabilities to ensure high performance, low latency, and minimal jitter for distributed AI workloads. You will play a critical role in enabling state-of-the-art AI systems to achieve their full potential.
As a Senior Software Engineer on the HPC/AI team, you will play a pivotal role in shaping the next-generation networking infrastructure for AI training and inference in Azure Cloud. This is a unique opportunity to work at the intersection of two of the hottest fields in technology: AI and high-performance computing. With the explosive growth of generative AI and the increasing demand for large-scale, low-latency systems, this area is at the forefront of innovation and impact. You will work across diverse network architectures and cutting-edge processor and accelerator technologies, driving the design and delivery of a comprehensive, end-to-end solution with a relentless focus on performance, scalability, and observability. If you’re passionate about groundbreaking technology, large-scale systems, and AI infrastructure, join us to build the platform that will power the future of AI supercomputing!
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
  • Leads discussions and owns the architecture of products/solutions, developing complex design specifications and testing design options, ensuring performance, scalability, resilience, and security.
  • Independently creates clear test strategies that ensure solution quality, incorporating security testing and leveraging AI tools for test automation.
  • Produces extensible, maintainable, well-tested, secure, and performant code adhering to design specifications, continuously improving code quality and stability using metrics and AI techniques.
  • Reviews product and test code to ensure compliance with standards, adequate test coverage, and adherence to best practices, coaching others through code reviews.
  • Independently uses AI tools and practices throughout the software development lifecycle, taking responsibility for AI-generated assets and improving AI integration in processes.
  • Collaborates cross-team to identify dependencies, resolve conflicts, and ensure overall system security, compliance, and reliability.
  • Applies and promotes security best practices across code, architecture, and operations to ensure each layer is independently secure, including AI safety features in AI production systems. 

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#, 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.
  • 1+ years experience with any of the following: High Performance Networking, Network devices, InfiniBand, RoCE, NvLink
 
#azurecorejobs

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

An Hour Ago
Remote or Hybrid
United States
Senior level
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Develop autonomy evaluation metrics, statistical and machine-learning analyses, dashboards, and pipelines for simulation and on-road autonomous vehicle testing. Analyze perception, prediction, and planning performance; identify anomalous behavior and critical scenarios; apply VLMs and LLMs where appropriate; and support release gating and safety decisions. The role requires production Python, C++ debugging, technical leadership, cross-functional collaboration, and rigorous software engineering practices.
Top Skills: C++Computational GeometryLarge Language ModelsLinear AlgebraMachine LearningNumpyPandasPythonPyTorchRosScipySQLStatistical ModelingTime-Series AnalysisVision-Language Models
An Hour Ago
Remote or Hybrid
District of Columbia, USA
171K-261K Annually
Senior level
171K-261K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Develop scalable backend services, APIs, event-driven workflows, metadata pipelines, configuration tools, deployment controls, and observability for vehicle data collection across fleets. The role owns production systems, improves data quality and campaign monitoring, leads cross-team technical initiatives, and contributes through architecture reviews, testing, code reviews, mentorship, and production support. Collaboration spans AI research, data engineering, vehicle engineering, autonomy, privacy, product, and operations teams.
Top Skills: BigQueryFastapiGCPKafkaKubernetesPostgresPub/SubPythonReactTypescript
2 Hours Ago
Remote or Hybrid
120K-170K Annually
Senior level
120K-170K Annually
Senior level
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Develop and support SAP ABAP solutions for Finance, Procurement, Subledger, and BRIM systems. Build HANA CDS views, OData services, SQL objects, AMDPs, and RAP-based Clean Core extensions. Participate in SAP implementations, integrations, code migration, debugging, workflow support, production enhancements, and technical remediation. Collaborate with business stakeholders and distributed engineering teams while following SAP development standards, ATC checks, SDLC practices, and change controls.
Top Skills: Abap Managed Database Procedures (Amdp)Abap Test Cockpit (Atc)AdbcAdobe FormsAleAlvBadisBapisBdcCds ViewsConvergent MediationIdocsLsmwNative SqlOdataRestful Application Programming Model (Rap)RfcSap AbapSap Api GatewaySap BrimSap Btp Integration SuiteSap BuildSap Build Work ZoneSap Business Application StudioSap Cloud Application Programming Model (Cap)Sap Data DictionarySap EccSap FioriSap HanaSap S/4HanaSap Suite On HanaSapscriptSapui5Smart FormsSQL

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account