Responsibilities
- Partner with appropriate stakeholders to determine user requirements for a set of scenarios.
- Lead identification of dependencies and the development of design documents for a product, application, service, or platform.
- Leads by example and mentors others to produce extensible and maintainable code used across products.
- Design, develop, and optimize networking solutions tailored for large-scale AI training infrastructure.
- Architect and implement high-performance, low-latency, and low-jitter communication frameworks for distributed systems.
- Benchmark, analyze, and enhance the scalability and reliability of networking systems to handle petabyte-scale data transfer.
- Debug and resolve complex networking issues in large-scale, high-performance environments.
- Drive identification of dependencies and the development of design documents for a product, application, service, or platform.
- Create, implement, optimize, debug, refactor, and reuse code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).
- Act as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate.
- Proactively seek new knowledge and adapts to new AI trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
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++, 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 8+ 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 12+ 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 hands-on experience with networking technologies in AI-specific hardware (e.g., InfiniBand, ROCE, NVLink).
- In-depth understanding of networking protocols (e.g., Ethernet, TCP/IP, RDMA, gRPC) and distributed systems.[MG2.1][SD2.2]
- Familiarity with network virtualization, software-defined networking (SDN), or network performance tuning.
- Familiarity with AI accelerators such as GPUs (NVIDIA, AMD) or TPUs, and how they interact with networking infrastructure.
- 1+ years experience with telemetry and observability tools for network monitoring at scale.
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 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 a related technical field and 6+ years of technical engineering experience with coding
- Equivalent professional experience may substitute for the degree and experience requirement
- Ability to meet Microsoft, customer, and/or government security screening requirements
- Pass the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter
- Master's degree in Computer Science or a related technical field and 8+ years of technical engineering experience with coding
- Bachelor's degree in Computer Science or a related technical field and 12+ years of technical engineering experience with coding
- 1+ years of hands-on experience with networking technologies in AI-specific hardware, such as InfiniBand, RoCE, or NVLink
- In-depth understanding of Ethernet, TCP/IP, RDMA, gRPC, and distributed systems
- Familiarity with network virtualization, software-defined networking, or network performance tuning
- Familiarity with AI accelerators such as NVIDIA or AMD GPUs and TPUs
- 1+ years of experience with telemetry and observability tools for network monitoring at scale
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.
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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.
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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.
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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.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
