About the role
What will you do at Microsoft?
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.
Which skills does this role require?
Make your next move
Build a shortlist and prepare
Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.
- Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
- Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.
Other roles to compare
Review the responsibilities and requirements before adding an opening to your shortlist.
Applied AI Design Engineer (100 % remote) (m/f/d)
EWOR · Capon Bridge, West Virginia, United States
AI Risk Engineer
Bright Vision Technologies · Columbus, Ohio, United States
VP – Distinguished Engineer of Generative AI Engineering
Slate Auto · United States
Research Engineer, Responsible Frontier AI Research, DeepMind
Google · New York, New York, United States
AI Outcome Customer Engineer, Forward Deployed Engineering
Google · Atlanta, Georgia, United States
Senior Pre-Sales Solutions Engineer - SIEM/Security Analytics / CTI
Anomali · Boston, Massachusetts, United States
Role information can change. Confirm current details on the original application page.
