This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.
Who We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for positive. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
Job Description:
High Performance Computing, AI and Labs is a critical element of HPE. We are focused on delivering innovative solutions that accelerate our customers’ digital transformation, enabling them to tackle their complex,
and data-intensive workloads. Combining deep expertise and the development of the world’s most cutting-edge, high-performance supercomputers, is defining the next era of computing delivering valuable insight & innovation. Join us and redefine what’s next for you.
What you'll do:
Design and develop high-performance, scalable storage system software for HPE HPC Storage platforms (HPE Cray ClusterStor and DAOS). Contribute to core system functionality, performance, and reliability across distributed storage environments supporting HPC and AI workloads.
- Develop and maintain core storage system components (data path, metadata, protocols, and management services)
- Design and implement scalable, distributed storage features with focus on performance and reliability
- Debug and resolve complex system-level issues across software, firmware, and hardware interactions
- Collaborate with cross-functional t