Do you want to help power the world’s most demanding Artificial Intelligence (AI) and High Performance Computing (HPC) workloads on Azure? The Azure HPC/AI Software team is expanding our engineering presence in Dublin to accelerate innovation in Azure HPC/AI Images and Microsoft HPC Pack — powering some of the world’s most demanding HPC and AI workloads — from large-scale physics simulations, climate modeling, and computational chemistry to AI model training and inferencing on thousands of Graphics Processing Units (GPUs).
Azure HPC/AI Images are pre-configured, performance-optimized Operating System (OS) images that integrate the latest HPC and AI software stacks — including Message Passing Interface (MPI) libraries, GPU drivers, communication runtimes, container runtimes, and high-speed networking drivers — enabling customers to run cutting-edge HPC/AI workloads on Azure with minimal setup time and maximum performance. Microsoft HPC Pack provides enterprise-class cluster management, job scheduling, and monitoring for hybrid and cloud-native HPC environments, enabling customers to orchestrate workloads across on-premises and Azure resources seamlessly.
As a Software Engineer, you will contribute to the development, testing, and maintenance of Azure HPC/AI Images, working with technologies such as MPI libraries (Intel MPI, Open MPI, MVAPICH2), GPU computing frameworks (Compute Unified Device Architecture (CUDA), NVIDIA Collective Communication Library (NCCL), Radeon Open Compute (ROCm), Radeon Collective Communication Library (RCCL)), high-speed networking (NVLink, InfiniBand, Remote Direct Memory Access (RDMA), Libfabric, Unified Communication X (UCX)), and parallel file systems (Azure Managed Lustre). You will collaborate with experienced engineers and industry-leading partners to integrate and optimize these technologies for Azure customers. You will also assist in sustaining Microsoft HPC Pack to ensure its job scheduling and cluster management capabilities continue to serve global enterprise customers. This role offers the opportunity to learn from experts and contribute to the Azure HPC/AI infrastructure that supports scientific research, AI innovation, and mission-critical workloads worldwide.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

REQUIRED QUALIFICATIONS:

• Bachelor’s Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, Bash, C, C++, C#, Python, or Go.
• OR equivalent experience.
• Familiarity with Linux or Windows system programming, distributed systems, or cloud services.
• Hands-on experience with HPC/AI clusters and workloads, MPI libraries, GPU computing, or large-scale cluster environments.
• Ability to work collaboratively in a global team environment.

OTHER QUALIFICATIONS:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

PREFERRED QUALIFICATIONS:

• Master’s Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, Bash, C, C++, C#, Python, or Go.
• OR equivalent experience.
• Experience with Microsoft Azure or other cloud platforms.
• Experience with kernel debugging, driver troubleshooting and performance tuning on Linux or Windows
• Experience with container technologies (Docker, Kubernetes) and cloud-native HPC/AI workflows.
• Knowledge of high-speed networking concepts (InfiniBand, RDMA, NVLink) and parallel file systems (Lustre, BeeGFS).
  

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Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations

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