Research Systems Administrator-HPC III

Title: Research Systems Administrator-HPC III

Location: Upper East Side

Org Unit: Scientific Computing Unit

Work Days:

Weekly Hours: 35.00

Exemption Status: Exempt

Salary Range: $148,050.00 - $165,850.00

• As required under NYC Human Rights Law Int 1208-2018 - Salary range for this role when Hired for NYC Offices

Position Summary

Resolves critical technical problems and takes lead in mentoring junior staff. Designs complex architectural solutions for a growing and adaptive computational environment. Regularly interfaces with lateral technical and research groups to assist in their endeavors.

Job Responsibilities

• Designs the architecture of the departments Peta-Scale storage infrastructure.
• Architects data lifecycle management and storage tiers, including off-site replication to cloud providers.
• Develops highly reliable batch scheduling infrastructure.
• Designs the architecture of the departments High Performance Computing (HPC) infrastructure.
• Trains and mentors junior and operational staff in monitoring and troubleshooting cluster performance issues.
• Designs and oversees the installation of scientific computing software stacks and research workflows.
• Assists in the development of, coordinates, and leads, training events for research users in the efficient use of cluster and storage resources.
• Provides and oversees complex technical documentation for the research community.
• Directly interfaces with investigators to assess requirements and implement tailored solutions for their problem sets.
• Responsible for vendor relations and negotiations of commercial solutions.
• Performs other related duties as co-developed with management.

Education

• Bachelors Degree

Experience

Bachelors of Science degree preferably in a technical field (e.g., computer science, physics, math, chemistry, or engineering)

Approximately 4 years of relevant work experience.

Experience working in a scientific computing environment, particularly in an academic setting is required.

Experience with Infiniband networking is required.

Experience with GPU computing, particularly using the nVidia CUDA toolkit is required.

Experience architecting scientific computing clusters and their associated scheduling systems, such as SGE, PBS, or SLURM is required.

Experience architecting database-backed web applications, particularly managing Shiny services, is required.

Knowledge, Skills and Abilities

• High proficiency in the Linux operating system, including scripting languages such as bash, Ruby and Perl.
• Proficiency in building, installing, and configuring a variety of open-source Linux software packages, especially with complex dependencies.
• High proficiency in at least two programming languages, such as C++ or Java, Perl, Python.
• A detailed knowledge of computer hardware, specifically, Peta-scale storage platforms.
• Proficiency in HPC filesystems, Lustre, GPFS.
• Proficiency of networking concepts and use of tools and protocols such as SSH, DNS, DHCP, and LDAP.
• Ability to manage complex vendor relationships.
• Demonstrated leadership and mentoring skills to effectively manage and develop staff members.

Licenses and Certifications

Working Conditions/Physical Demands

Standard office work.

Position may require domestic and international travel.

Position may require to ability to work flexible hours, evenings and/or weekends when requested for special projects.

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Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans Readjustment Assistance Act (VEVRRA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.