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Information Technology
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AM-Applied Mathematics and Computational Research
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93850 Requisition #

Lawrence Berkeley National Lab’s (LBNL) Computational Research Division has an opening for an HPC Applications Engineer to join the Computer Languages & Systems Software Group.

The group’s mission is to research, design, and implement new models, features and optimizations of parallel programming languages and their execution environments for leading-edge High Performance Computing (HPC) systems. In this exciting role, you will research, design and develop HPC applications using parallel programming languages and libraries for HPC.  You will support the adoption and deployment of UPC++, a C++ library implementing the Partitioned Global Address Space programming model, in a production environment running on world-class supercomputers.  The successful candidate will work with application developers to apply UPC++ to their most pressing challenges and report experiences from such interactions to facilitate the design of new features in UPC++ and its underlying GASNet-EX networking middleware in order to extend their usability to the community.

 

What You Will Do:

  • Develop software for research related to the field of Partitioned Global Address Space (PGAS) programming models and the application of the UPC++ PGAS model in HPC.
  • Analyze the communication performance and inter-node scalability characteristics of applications and middleware which are candidates for use of PGAS programming models on present and future HPC systems.
  • Develop and deploy algorithms using PGAS programming models to mitigate on-node or inter-node communication overheads or other scalability bottlenecks in these applications and middleware.
  • Participate in a multidisciplinary team involving computer scientists, engineers, mathematicians, and domain scientists with the goals of (a) developing and deploying UPC++ for the solution of scientific and engineering problems and (b) improving UPC++ and GASNet-EX to better meet the needs of their users.
  • Document work and results in the form of technical reports, journal papers and conference proceedings.
  • Publish work and present results at scientific meetings.
  • Work on and resolve more complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.
  • Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results.

 

What is Required:

  • Bachelor’s degree in Computer Science or a related field, or equivalent experience.
  • A minimum of 5 years of related job experience beyond the Bachelor’s degree (or equivalent experience).
  • Experience implementing high-quality software in the field of High Performance Computing (HPC).
  • Parallel programming in HPC applications and/or middleware using MPI, CUDA or a PGAS model.

 

If hired at a (Senior) level:

 

  • Typically requires a minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or equivalent experience.
  • Wide-ranging expertise implementing high-quality software in the field of High Performance Computing (HPC).
  • High-performance parallel programming with C++.
  • Parallel programming in MPI, CUDA or a PGAS model
  • Performance analysis and performance optimization of distributed and threaded applications.
  • Proven consensus builder in a highly collaborative environment.
  • Excellent written and verbal communication skills.
  • Ability to troubleshoot and solve problems of diverse scope where analysis of data requires evaluation of identifiable factors.

 

Desired Qualifications:

  • Experience with design and implementation of applications using, or middleware implementing, the Partitioned Global Address Space (PGAS) model.
  • Experience in parallel/distributed algorithm design and implementation, especially with respect to the use of non-blocking communications and asynchronous execution.

 

If hired at higher (Senior):

  • Ability to resolve complex issues in creative and effective ways.
  • Ability to network and collaborate with key contacts outside their own area of expertise.

 

The posting shall remain open until the position is filled. 

 

Notes:

  • This is a full-time, 2-year, term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.
  • This appointment may be hired at a level 2, or higher (Senior) appointment.
  • This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
  • Relocation for this position is optional, but the applicant must physically reside in the United States. The employee will be expected to attend regular virtual meetings with team and department members that are scheduled during business hours for US Pacific time.
  • For more information about our group, please visit the website for the Computer Languages & Systems Software Group (https://go.lbl.gov/class



Equal Employment Opportunity:

Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.

Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

Equal Opportunity and IDEA Information Links:
Know your rights, click here for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4.

 

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Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments.

Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab’s mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

Equal Opportunity and IDEA Information Links:
Know your rights, click here for the supplement: "Equal Employment Opportunity is the Law." and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4.

 

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The Lawrence Berkeley National Laboratory provides accommodation to otherwise qualified internal and external applicants who are disabled or become disabled and need assistance with the application process. Internal and external applicants that need such assistance may contact the Lawrence Berkeley National Laboratory to request accommodation by telephone at 510-486-7635, by email to eeoaa@lbl.gov or by U.S. mail at EEO/AA Office, One Cyclotron Road, MS90R-2121, Berkeley, CA 94720. These methods of contact have been put in place ONLY to be used by those internal and external applicants requesting accommodation.