HPC Performance Engineer

4 weeks ago

Boston, Massachusetts, United States Northeastern University Full time
About the Opportunity

This job description outlines the general nature and level of work performed by individuals assigned to this classification. It is not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel in this role.

The Research Computing team at Northeastern University seeks a motivated, self-starting individual to join our dynamic team as a HPC Performance Engineer. This role will support the growth of our user base, computing infrastructure, and increasing need to support Artificial Intelligence/Deep Learning workloads.

The successful candidate will be a key link between the RC team and the research community at NU, including faculty and students across various departments, as well as outside users and partners. They will help leverage RC resources for research and teaching, improving the overall reliability and efficiency of GPU/other AI-accelerator-based software applications and optimizing the performance of ML models, including large language models and large vision models.

The HPC Performance Engineer will provide key support in the full development cycle of ML models to ensure their optimal performance for faculty research groups. They will also help increase the adoption and efficient use of the university's HPC resources in executing AI/DL workloads.

This position will work with faculty and researchers, advise members of the research community on best practices, and assist them in getting the most out of NU's cloud and HPC service offerings. The HPC Performance Engineer will also participate in grant funding opportunities, author research papers and presentations with faculty members, and design and lead projects with RC Graduate Research Assistant and Co-op student workers.

Key Responsibilities:

  • Partner with faculty and research staff to leverage HPC clusters at MGHPCC.
  • Work with research groups to help strategize, streamline, and implement optimized ML workflows on the cluster.
  • Participate in the research, deployment, and advertising of new ML technologies.
  • Troubleshoot, isolate, and resolve application errors and other technical issues.
  • Benchmark application codes and deploy application performance tools.
  • Effectively and efficiently resolve support/help tickets from the HPC users within the global Northeastern University community.
  • Engage in research and author/co-author papers and research grants.
  • Assist in developing and writing proposals to enhance the research enterprise at Northeastern.
  • Ensure the maintenance and/or creation of documentation, training (internal and external), and communication in support of the high-performance computing infrastructure.
  • Follow advancements on the cloud, research, and parallel computing fronts.
  • Attend conferences and workshops relevant to HPC to advance skills.
  • Promote diversity, equity, inclusion, and accessibility by fostering a collaborative workplace and group culture.

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