About the Role

Senior Software Engineer role focused on designing and building next-generation networking infrastructure for large-scale AI training in Azure Cloud. Responsibilities include developing high-performance, low-latency communication frameworks and optimizing networking solutions for distributed AI workloads. This position sits at the intersection of AI and high-performance computing, requiring expertise in networking and distributed systems.

Key Responsibilities

• Design, develop, and optimize networking solutions for large-scale AI training infrastructure
• Architect and implement high-performance, low-latency communication frameworks for distributed systems
• Benchmark, analyze, and enhance scalability and reliability of networking systems for petabyte-scale data transfer
• Debug and resolve complex networking issues in large-scale, high-performance environments
• Act as a Designated Responsible Individual (DRI) to monitor systems and guide other engineers

Required Skills & Qualifications

Must Have:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python OR equivalent experience
• 1+ years Networking OR High Performance Computing experience
• Ability to pass Microsoft Cloud Background Check upon hire/transfer and every two years thereafter

Nice to Have:

• Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience OR Master's Degree AND 6+ years experience
• Familiarity with Machine Learning, AI Infrastructure, Operating Systems fundamentals and virtualization technologies
• 1+ years experience on Distributed Systems
• 1+ years experience on High Performance Computing / Machine Learning middleware

Benefits & Perks

• Industry leading healthcare