HPC & AI - Software Engineering Resolution Engineer

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 good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

The role:

Provides customer support for HPE's Cray Programming Environment software product and collaborates with software vendors on issues. Responsibilities may include leading customer troubleshooting meetings, system testing, and monitoring vendor bug tickets. Candidate is expected to analyze software issues and provide final resolutions or workarounds when possible. This may also include managing escalations to the next level of engineering and ensuring issues are documented completely and are technically sound.

• Analyze, reproduce, isolate and resolve issues pertaining to Cray Programming Environment.
• Provide technical support for customer reported issues escalated to Level 3 support.
• Escalate unresolved issues internally to HPE R&D or to programming tool partners depending upon isolation.
• Perform selected product pre-release testing.
• Document/communicate throughout the whole process of working an issue until closure.
• Create and review selected customer documentation and notices.
• Must be able to provide after-hours support when necessary.
• Provides guidance and mentoring to less-experienced staff members.

Bachelor's or Master's degree in Computer Science/Engineering, Information Systems, or equivalent.

Typically 6-10 years experience.

• Knowledge and experience of Linux operating systems.
• Experience with installation and configuration of GPU drivers.
• Use of GPU performance and profiling tools (ex. NVIDIA Nsight).
• Knowledge and experience with programming environments, i.e. C++, Fortran, Python, MPI.
• Experience with debugging and performance analysis tools (CPE tools and libraries).
• Prior history with containerization such as Apptainer.
• Experience with Pytorch, NCCL and/or RCCL.
• Ability to gather data, perform analysis, reproduce and resolve issues or escalation to HPE R&D or external partners, working with them until closure.
• Knowledge and experience with working with 3rd party suppliers.
• Ability to multi-task and prioritize, switching between working several issues at once.
• Ability to work effectively in a team environment to investigate and resolve complex problems as part of a team.
• Good communication skills, internally within HPE and externally with customers and suppliers, both verbal and written.

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.

Note:

This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

• Health & Wellbeing:
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