Senior Software Engineer – HPC & AI Advanced Development

HPE is seeking a motivated and skilled Senior Software Engineer to join the Advanced Programming Team within the HPC & AI Advanced Development Organization.  This position is remote within the United States and requires valid U.S. work authorization.

In this role, the software engineer will collaboratively solve challenges in scaling high-fidelity, discrete-event simulations on HPE supercomputers, using distributed memory and resilient execution techniques like checkpointing. There will also be the development of workflows for distributed, large-scale data analysis of traces, logs, and telemetry data from simulations and HPC systems.

Key Responsibilities

·       Distributed HPC/AI workflow development, experimentation, and testing for enabling interactive processing of large-scale telemetry datasets (terabytes to petabytes).

·       Building solutions by composing existing open-source solutions and using distributed and parallel programming approaches for scaling data and simulation size.

·       Actively participate in a collaborative, consensus-driven design process.

·       Work in an Agile development environment.

·       Create documentation, collaborate with users, and present progress in writing, slides, and verbally.

Required Skills and Qualifications

·       6-8 years of industry or comparable experience in software engineering.

·       Proficiency in one or more programming languages such as C, C++, or Python.

·       Exposure to high-performance computing (HPC) or scientific computing.

·       Experience designing, building, or operating distributed large-scale systems in production environments.

·       Experience with software engineering workflows, including version control, code reviews, automated testing, and CI/CD pipelines.

·       Proficient in conveying technical concepts clearly and effectively through documentation, presentations, and design discussions.

·       Strong analytical and problem-solving skills.

Nice to Haves: Experience in one or more of the following areas

·       Experience collaborating with scientists or engineers on data science, data analytics, simulations, or modeling.

·       Experience with distributed-memory parallel programming on supercomputers or large-scale clusters.

·       Background in digital twin software development, including integration with visualization tools and AI/ML workflows.

·       Experience working on containerization & orchestration technologies such as Docker, Podman, Apptainer, Slurm and Kubernetes.

·       Experience developing or supporting workflows for HPC system design and operation.

·       Experience developing AI surrogates especially in the context of detecting real-time HPC system errors.

·       Experience incorporating and fine-tuning LLMs to provide a chat interface for any analysis or development environment.

·       Knowledge of parallel and discrete event simulation, especially with SST (https://sst-simulator.org/).

·       Familiarity with checkpointing techniques (efficiency, size optimization, recovery, persistence).

·       Familiarity with performance debugging and optimization at scale.

·       Familiarity with Pandas, NumPy, Dask, Spark or other data science technologies

·       Familiarity with Developer Operations, especially AIOps.