Lead Systems Engineer

Overview

The Institute for Defense Analyses (IDA) has an immediate career opening for a Lead Systems Engineer. This opening is located at IDA's Center for Communications Research in Princeton, New Jersey (CCRP). IDA offers a competitive salary, an excellent benefits package and a superior professional working environment. To the right individual, IDA offers the opportunity to have a major impact on key national programs while working in support of technical issues and projects.

IDA is seeking a qualified individual to manage its High Performance Computing (HPC) resources, including compute clusters, parallel file systems and high-speed networks. The successful applicant will be an expert in the Linux operating system and have significant experience with CPU/GPU based systems, high-performance storage technologies (e.g. Lustre), HPC or High Throughput job allocation technologies (e.g. Slurm, HTCondor), parallel computing environments such as MPI and CUDA, and high-performance network technologies (e.g. Infini Band, GigE).

The incumbent will recommend technologies; work with vendors to specify equipment; supervise or participate in installation; maintain, administer and troubleshoot systems; install software to support research; ensure compliance with DoD and sponsoring Agency requirements; and help researchers get the most out of the systems. Moreover, the individual will act as part of a team to maintain the environment in which the HPC systems function and support the mission of IDA/CCR-P and its sponsor.

• Bachelor of Science degree in Computer Science or equivalent experience in related field.
• Eight years minimum experience in Information Technology, which includes at least six in systems administration.
• Possess advanced, subject matter expertise in design, administration, and support of servers, systems and software, using Linux/Unix and/or Windows. Experience in more than one of the following areas is a requirement:
  • High Performance Computing (HPC) systems or large cluster computing, including GPU based systems.
  • High performance storage technologies such as Lustre or Hadoop.
  • HPC or High Throughput Computing (HTC) job allocation technologies such as Slurm or HTCondor.
  • Parallel computing libraries and environments such as MPI and CUDA.
  • High performance network technologies such as Infini Band and GigE.
  • Authentication, access control, compliance and security in a DOD environment.
  • Open Source software installation and support.
• Must be organized, self‑motivated and able to work with moderate supervision.
• Ability to communicate effectively in both written and verbal form and with all levels of employees; possess good interpersonal skills.
• Must be willing to work hours outside of a regular schedule, including periodic on‑call support.
• Position…