Jobs for People with MS: National MS Society

• Job Type: Officer of Administration
• Regular/Temporary: Regular
• Hours Per Week: 35
• Building: Studebaker
• Salary Range: $100,000 - $125,000

Position Summary

Reporting to the Manager, High Performance Computing; the Sr. Research Systems Engineer participates in the design, development, implementation, and operations of Columbia's portfolio of high-performance computing services. The position collaborates with other CUIT technical teams and Columbia researchers to support research computing resources, including but not limited to high performance computing (HPC) clusters, ensuring user requirements are met and planning ongoing improvements and modifications to these systems and services.

Responsibilities

• Takes a primary role in the planning and design of research computing services.
• Investigates new and emerging technologies, evaluating usefulness to Columbia researchers and making recommendations for future services.
• Interacts with Columbia researchers on various topics, including (but not limited to) the use of existing services, service policies, and research requirements.
• Takes a primary role in HPC system troubleshooting including coordinating with users, vendors and other CUIT departments to resolve system problems.
• Manage storage systems.
• Resolves incidents and service requests.
• Administration of systems in the research computing infrastructure, including the installation and management of configuration, monitoring and notification tools, as well as basic network administration.
• Assists in the creation and maintenance of user documentation.
• Interacts with vendors, assessing products and making purchasing recommendations.
• All other duties as assigned.

Minimum Qualifications

• Bachelor's degree required. Advanced degree desirable.
• Minimum 4-6 years' of related experience.
• 4 years' Linux/Unix experience.
• Prior experience in programming, software development, or system administration.
• Excellent written and verbal communication skills.
• Demonstrated ability to work in a fast-paced, deadline driven environment.
• Ability to work with minimal supervision.
• Demonstrated excellence in a variety of competencies including teamwork/collaboration, analytical thinking, communication and influencing skills, and technical expertise.
• Ability to work with changing priorities and with multiple projects.
• Ability to be precise and attentive to detail is essential.
• Ability to work weekend and off-hour work on occasion.

Preferred Qualifications

The following qualifications are not requirements, but highly advantageous. We will provide on-the-job training in High Performance Computing (HPC) and related topics to individuals that are otherwise skilled and motivated.

• Experience with Linux system administration, particularly Red Hat (7, 8).
• Experience with SLURM or other workload management services.
• Experience with Bright (Base Command Manager), OpenHPC, SGE, Confluent or other clusterware.
• Knowledge of GPFS, Lustre, ZFS, NFS or other network or parallel file systems.
• Familiarity with Ansible, Puppet or other Linux configuration management tools.
• Familiarity with other HPC components, such as Infiniband network and GPU.
• Experience with Shell scripting and Python.
• Experience with version control systems, such as Git and monitoring tools like Grafana or Nagios.
• Familiarity with HPC programming technologies (such as MPI, OpenMP, or CUDA).
• Familiarity with other HPC technologies (such as Infiniband, or GPU, DDN appliance).
• Familiarity with JupyterHub.
• Familiarity with standard programming languages (such as C, C++, Fortran, or Java).
• Knowledge of TCP/IP.
• Familiarity with statistical tools (such as R) or mathematical tools (such as Matlab).
• Knowledge of technology, applications and interfaces designed to support research, such as Globus.