High Performance Computing Engineer

Novo Nordisk•Lexington, MA

12h

About The Position

The High Performance Computing (Operation) Engineer will be responsible for collaborating with our scientific users to enable the best use of our HPC platforms. Our scientific users are situated globally, and this position will be working in an international environment with team members around the globe. The position is a user-facing role - close collaboration with scientific users of HPC to understand their needs and to provide guidance. AI Foundation/Advanced Computational Infrastructure (ACI) supports the strategic digital transformation needed to realize the Novo Nordisk strategy. The HCP Engineer will be responsible for developing, implementing, operating, maintaining, and supporting the storage-, middleware - and IT infrastructure used by all units across Novo Nordisk on-premises and in the cloud.

Requirements

Bachelor's degree and 4+ years of experience or Master's degree and 2+ years of experience
Hands-on and work with new technologies and able to quickly learn new concepts
Team-oriented with a strong personal drive to achieve goals and service-minded and thrive in a busy environment
Experience with and deep knowledge of Linux systems
A good understanding and preferably experience with DevOps principles such as automation, infrastructure/configuration as code, CI/CD amongst others
Experience in working within the HPC field
Experience with AWS, preferably Parallel Cluster
Experience from agile project work and direct end-user interaction is preferred
Customer minded problem-solving mindset with a keen interest in identifying and problem solve how to best enable and increase science and operational performance through IT
Knowledge or interest in the following: IaC through GitHub Generative AI and other related machine learning technologies from e.g., NVIDIA Ansible, Slurm, on premise HPC cluster solutions, Run.ai, CEPH, Lustre, WEKA and Qumulo storage Virtualization and Container orchestration Parallel programming and MPI

Responsibilities

Maintain a strong collaboration with data scientists and research scientists to optimize their workflows and code and resolve their issues and requests
Responsible for building, testing, and deploying the solution CDK pipeline for new releases; maintain the specification and operations documentation
Ensure the operations, maintenance and support model is functioning seamlessly and continuously improved
Proactively keep the solutions highly stable, available, and performing to expectations, which includes optimization of our system and user activity monitoring and alerts, and our devops in general
Understand the researchers’ and data scientists’ needs and based on these raise proposals for technical/functional changes and additions
Drive user training, expand the user guidance material and promote the HPC user community interaction
Responsible for building new features, as well as handling change requests

Benefits

medical
dental
vision coverage
life insurance
disability insurance
401(k) savings plan
flexible spending accounts
employee assistance program
tuition reimbursement program
voluntary benefits such as group legal, critical illness, identity theft protection, pet insurance and auto/home insurance
sick time policy
flex-able vacation policy
parental leave policy