Staff HPC Engineer - Randstad USA

job summary:

Randstad Federal is seeking a Staff HPC Engineer for a role supporting NASA

 
location: Mountain View, California
job type: Contract
salary: $60 - 70 per hour
work hours: 8am to 4pm
education: Bachelors
 
responsibilities:

Duties and Responsibilities:

Designs, deploys and maintains HPC clusters with over 2000+ nodes with InfiniBand, 100+ petabytes of data storage in production.

Write and shepherd scalable feature designs through the entire software development process, from requirements and use cases to release

Designs and develops scripts for system administration, monitoring and usage reporting.

Modify existing software to correct errors and/or improve performance

Designs and develops scripts for system regression test and performance (file systems (Luster), scheduler (PBS), interconnect (HDR/NDR, Slingshot, ), high availability, etc.).

Troubleshoots, isolates and resolves application, system and other technical problems (hardware, software, and network).

Understands research use cases, researches and deploys new technologies, defining cost, performance and other trade-offs.

Manages and maintains tools for configuration management (HPCM, Ansible & GIT), resource management, scheduling and all necessary aspects of HPC in accordance with best practices.

Researches, deploys and manages networking and security infrastructure, including development of policies and procedures.

Assists in developing and writing proposals and publications.

Creates and provides clear documentation.

Mentoring junior staff and cross training peers

After hours/weekend support as required

Moderate Supercomputing System Administration that contributes to:

Day-to-day operations of the Linux HPC clusters and storage systems

Proactive monitoring, analyze, and correct system issues

Development of scripts to automate repetitive tasks or tools to enhance support of the HPC systems

System performance analysis and tuning

Building, installing, and supporting user-requested software

Supporting evaluation and assessment of new HPC technology

Resolving user report issues and manage support tickets requests in Remedy

Requirements:

Bachelor's degree in computer science or related field

strong computer science background with in-depth systems-level knowledge in operating systems and networking

A minimum of 5 years experience of administration of HPC systems and scheduling software (PBS, Slurm, or Moab/Torque)

A minimum of 5 years of experience of systems programming in heterogeneous, multi-platform HPC environments

strong ability to analyze, debug and maintain the integrity of an existing code base

Demonstrated equivalence of 5 years of Linux/UNIX user support experience and hands-on experience with administration of Linux systems

Experience working with HPC applications and proficiency in at least C, C++, or Fortran

Superior scripting skills and excellent attention to detail; proficiency in at least Python, Perl, or Bash

strong ability to interact with customers to understand needs, elicit requirements, and get feedback on prototype solutions

Excellent communication and people skills; excellent time management and organizational skills

Experience with system configuration management tools e.g. , puppet, chef, ansible

Experience with revision control software e.g. CVS, SVN, Git

Track record of delivering commercial quality software on schedule with excellent quality through multiple release cycles

Proficiency at technical writing

Preferred Skills (Requesting Manager Defines):

Proficiency with analysis and problem-solving skills for debugging and optimization of applications

Familiarity/proficiency with OpenMP and Message Passing Interface (MPI) programming

Experience with Lustre, and InfiniBand

Experience with cloud technologies (AWS, Azure, GCP), OpenStack or Kubernetes is a plus

 
qualifications:

• Experience level: Experienced
• Minimum 5 years of experience
• Education: Bachelors

 
skills:

• Professional Engineer
  

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disabi