[Remote] Software Co-Design AI HPC Systems

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Note: The job is a remote job and is open to candidates in USA. Microsoft is a leading technology company focused on architecting next-generation AI systems at datacenter scale. The role involves leading the co-design of AI systems, optimizing performance and efficiency, and collaborating with various teams to drive high-impact ideas into production.


Responsibilities

  • Lead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks
  • Drive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements
  • Co-design and optimize parallelism strategies, execution models, and distributed algorithms to improve scalability, utilization, reliability, and cost efficiency of large-scale AI systems
  • Develop and evaluate what-if performance models to project system behavior under future workloads, model architectures, and hardware generations, providing early guidance to hardware and platform roadmaps
  • Partner with compiler, kernel, and runtime teams to unlock the full performance of current and next-generation accelerators, including custom kernels, scheduling strategies, and memory optimizations
  • Influence and guide AI hardware design at system and silicon levels, including accelerator microarchitecture, interconnect topology, memory hierarchy, and system integration trade-offs
  • Lead cross-functional efforts to prototype, validate, and productionize high-impact co-design ideas, working across infrastructure, hardware, and product teams
  • Mentor senior engineers and researchers, set technical direction, and raise the overall bar for systems rigor, performance engineering, and co-design thinking across the organization

Skills

  • 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
  • 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
  • Strong background in one or more of the following areas: AI accelerator or GPU architectures, Distributed systems and large-scale AI training/inference, High-performance computing (HPC) and collective communications, ML systems, runtimes, or compilers, Performance modeling, benchmarking, and systems analysis, Hardware–software co-design for AI workloads
  • Proficiency in systems-level programming (e.g., C/C++, CUDA, Python) and performance-critical software development
  • Proven ability to work across organizational boundaries and influence technical decisions involving multiple stakeholders
  • Experience designing or operating large-scale AI clusters for training or inference
  • Deep familiarity with LLMs, multimodal models, or recommendation systems, and their systems-level implications
  • Experience with accelerator interconnects and communication stacks (e.g., NCCL, MPI, RDMA, high-speed Ethernet or InfiniBand)
  • Background in performance modeling and capacity planning for future hardware generations
  • Prior experience contributing to or leading hardware roadmaps, silicon bring-up, or platform architecture reviews
  • Publications, patents, or open-source contributions in systems, architecture, or ML systems are a plus

Benefits

  • Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Company Overview

  • Microsoft provides computer software, consumer electronics, cloud computing platforms, and digital enterprise systems. It was founded in 1975, and is headquartered in Redmond, Washington, USA, with a workforce of 10001+ employees. Its website is

    • Company H1B Sponsorship

  • Microsoft has a track record of offering H1B sponsorships, with 2855 in 2026, 9192 in 2025, 9343 in 2024, 7677 in 2023, 11403 in 2022, 7210 in 2021, 7852 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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