The HPC/AI team is focused on building a next-generation distributed AI supercomputer to enhance artificial intelligence capabilities. As a Principal Software Engineer, you will develop advanced networking infrastructure for large-scale AI training, ensuring high performance and low latency. This role offers the opportunity to work at the intersection of AI and high-performance computing, driving innovation in networking solutions. You will collaborate with diverse technologies to create a comprehensive solution that meets the demands of modern AI workloads.

• 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.
• Ability to meet Microsoft, customer and/or government security screening requirements.
• 1+ years hands-on experience with networking technologies in AI-specific hardware.
• In-depth understanding of networking protocols and distributed systems.
• Familiarity with AI accelerators and their interaction with networking infrastructure.

• Partner with stakeholders to determine user requirements for networking scenarios.
• Lead the identification of dependencies and the development of design documents.
• Mentor others to produce extensible and maintainable code across products.
• Design, develop, and optimize networking solutions for AI training infrastructure.
• Architect and implement high-performance communication frameworks for distributed systems.
• Benchmark and enhance the scalability and reliability of networking systems.
• Debug and resolve complex networking issues in high-performance environments.
• Act as a Designated Responsible Individual (DRI) and guide other engineers.
• Proactively seek new knowledge and adapt to AI trends and technical solutions.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.