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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.
Job Responsibility:
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
Requirements:
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
Ability to meet Microsoft, customer and/or government security screening requirements
Master'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 Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
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
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
Experience with telemetry and observability tools for network monitoring at scale
Background in building scalable and fault-tolerant systems in large, distributed environments