This role is part of the Microsoft Superintelligence Team, focusing on the co-design of next-generation AI systems that integrate hardware and software. The team aims to optimize performance, efficiency, and reliability for large-scale AI platforms while contributing to the broader research community. The position emphasizes collaboration with various internal and external teams to drive high-impact ideas into production. Candidates will be expected to mentor others and influence architectural decisions based on real workload analysis.

• Bachelor's Degree in Computer Science or related technical field and 6+ years of technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python.
• Master's Degree in Computer Science or related technical field and 8+ years of technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
• Strong background in AI accelerator or GPU architectures, distributed systems, and large-scale AI training/inference.
• Proficiency in systems-level programming and performance-critical software development.
• Experience designing or operating large-scale AI clusters for training or inference.

• Lead the co-design of AI systems across hardware and software boundaries.
• Drive architectural decisions by analyzing real workloads and identifying bottlenecks.
• Co-design and optimize parallelism strategies and distributed algorithms.
• Develop and evaluate performance models to project system behavior under future workloads.
• Partner with compiler, kernel, and runtime teams to enhance performance of accelerators.
• Influence AI hardware design at system and silicon levels.
• Lead cross-functional efforts to prototype and productionize co-design ideas.
• Mentor senior engineers and researchers, setting technical direction.

• 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.