Lead High Performance Computing Engineer at Brown University in Providence, Rhode Island

Job Description:

Lead High Performance Computing Engineer

Brown University



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Job Description:




Lead High Performance Computing Engineer




Office of Information Technology



The Lead High Performance Computing Engineer is responsible for the HPC team that manages high-performance computing (HPC) cluster, storage, and networking infrastructure. This includes, but is not limited to the integration of HPC systems with Brown's overarching IT infrastructure, deployment and management of parallel file systems, and maintaining system security. The Lead HPC Engineer is expected to occasionally debug and possibly rewrite low-level systems software, evaluate software for potential acquisition, and work closely with vendors' support organizations to ensure timely resolution of problems and high availability of CCV production services. In addition, occasional user support will be performed to assist in system-level application debugging/optimization.



Qualifications:





Education

• Bachelor's degree preferred

Required Experience

• 3 - 5 years of experience with Linux systems administration


• Lead or supervisory experience

Familiarity and experience with many of the following

• Research computing environments
  
  


• RHEL/CentOS Linux operating management experience
  
  


• Problem resolution and troubleshooting skills; e.g. dump reading, traces, etc
  
  


• Excellent interpersonal and communications skills (both oral and written)
  
  


• Strong ability to multi-task and prioritize activities
  
  


• Conceptual knowledge of all and in-depth knowledge of some of the following: systems architectures, security, networking, storage systems, parallel computing, batch/scheduling systems
  
  


• Knowledge of programming languages such as C, C++, bash, Perl, etc.
  
  


• Use of source control systems such as Git
  
  


• Use of log correlation software such as Sumologic
  
  


• Knowledge of large-scale research computing platforms such as Globus, HPC environments, SLURM, GPFS
  
  


• Machine Learning Frameworks, including Tensorflow
  
  


• Demonstrates a willingness and ability to support a diverse and inclusive environment.
  
  

Preferred Experience

• GPFS, Lustre, or BeeGFS filesystem experience
  
  


• basic knowledge of MPI programming and RDMA interconnects
  
  


• Infiniband
  
  


• SLURM
  
  

Successful completion of a criminal background check and education verification is required.




Benefits of Working at Brown:



Information on the Benefits of Working at Brown can be found here.



Recruiting Start Date:



2024-09-25



Job Posting Title:

Lead High Performance Computing Engineer



Department:

Office of Information Technology



Grade:

Grade 11



Worker Type:

Employee



Worker Sub-Type:


Regular



Time Type:

Full time



Scheduled Weekly Hours:

37.5



Position Work Location:

Remote Eligible



Submission Guidelines:



Please note that in order to be considered an applicant for any staff position at Brown University you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.



Still Have Questions?



If you have any questions you may contact employment@brown.edu.



EEO Statement:



Brown University is an E-Verify Employer.


As an EEO/AA employer, Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based upon a person's race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law, and caste, which is protected by our University policies.




















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