Lawrence Berkeley National Laboratory has an opening for a Computer Systems Engineer 3 (Application Performance Specialist) in Berkeley, CA.
As part of the Application Performance Group (APG), work with the NERSC scientific research community to help it achieve high performance on scientific simulation, modeling and data analytics applications on current and future NERSC supercomputers. Act as the Application Performance Specialist (APS) responsible for managing deep engagements with multiple strategic high-performance computing (HPC) projects for scientific research application porting, performance analysis and code optimization work. Take on leadership roles in one or more application development projects through the NERSC Exascale Science Applications Program (NESAP) to help optimize their code to run efficiently on Cori, Perlmutter and future NERSC supercomputers. Identify, develop and validate tools and approaches relevant to NERSC's HPC activities and encourage their adoption to improve the productivity of the scientific research community. For example, methodologies to collect performance data for scientific simulation and modeling applications, using tools such as Intel VTune/Advisor, NVIDIA nvprof and RRZE LIKWID, and strategies to identify performance bottlenecks and track performance optimization progress, using models such as the Roofline performance model. Engage with developers of HPC debugging/profiling tools, math libraries and programming frameworks to ensure that these resources are available and optimized on current and future NERSC supercomputers. Participate in the design, and influence the development, of programming languages, models, frameworks and programming standards (e.g. OpenMP and OpenACC) to ensure that NERSC supercomputing community's voice is heard by respective developers, vendors and standard committees. Keep abreast of the latest developments in HPC, evaluate the potential impact of emerging new technologies on NERSC scientific community, and ensure that NERSC stakeholders continuously adopt technologies with high performance, productivity and portability. Engage with industry vendors, and other national laboratories in the Exascale Computing Program (ECP), to coordinate the advancement of HPC leadership facilities, such as NERSC, ALCF and OLCF. Design and run benchmarks to ensure NERSC supercomputers are operating correctly and at optimal efficiency; provide technical input and assistance in the procurement of new NERSC supercomputing systems, for example, in the form of application benchmark projections. Publish results and findings in NERSC R&D efforts and science application optimization projects, and present at national and international HPC conferences and workshops. Supervise postdocs in the NESAP applications program, on code development, performance optimization, and publication of their results. Provide a broad spectrum of expertise and timely and courteous consulting services to general NERSC users, develop effective solutions for specific user problems coming from a wide range of scientific research domains, and provide one-on-one assistance as needed. Identify gaps between researchers' knowledge and the frontier of HPC, develop and deliver training courses for NERSC scientific research community, and create and maintain content for the NERSC website, with documentation and online tutorials. Communicate feedback from NERSC scientific research community, from training, hackathons and workshops, to NERSC staff to improve the quality of the facility.
REQUIREMENTS: Bachelor's in Computer Science, Electrical Engineering or a related technical field followed by 7 years of progressive post-baccalaureate experience in job offered or Computer Systems Engineer related occupation. Alternatively, we will accept Master's in Computer Science, Electrical Engineering or related technical field and 5 years of experience in job offered or Computer Systems Engineer related occupation. Also, we will accept Ph.D in Computer Science, Electrical Engineering or related technical field and 2 years of experience in job offered or Computer Systems Engineer related occupation.
Position requires 7 years of work-related experience in the following, if have Bachelors (if have Master's, requires 5 years of work-related experience in the below; if have Ph.D, requires 2 years of work-related experience in the below):
Programming in C/C++ and Fortran on scientific simulation, modeling and data analysis applications
Programming in Python, shell, and/or other scripting languages, for scientific computing workflow management and data post-processing
Software development using version control tools such as Git, auto-build tools such as GNU make, and unit testing methods, on leadership-class HPC systems
On-node and distributed-memory parallel programming, using MPI, OpenMP, CUDA, OpenACC and/or other parallel programming models, on multi-core, many-core and/or other energy efficient architectures
Parallel debugging, profiling and optimization, using HPC tools including ARM DDT, Intel VTune/Advisor, CrayPat, with additional experience in NVIDIA nvprof, PAPI, Cray Reveal preferred
Optimizing large-scale scientific applications on leadership computing facilities, for execution across large node-counts, with optimal use of multi-core, many-core, and accelerated architectures
Utilizing and/or developing performance models such as the Roofline performance model in scientific application optimization efforts
Analyzing and/or quantifying performance portability across multiple HPC architectures
Designing and running benchmarks on multiple HPC architectures to test system performance such as compute capability, bandwidth capability, IO performance and interconnect performance
Working with scientific research community of HPC facilities, understand complex scientific and HPC problems, developing effective solutions and communicating clearly to the community both orally and in writing
Managing large-scale code projects and geographically dispersed development teams
Developing and delivering community training courses, organize hackathons/workshops, and creating web documentation and online tutorials
Presenting papers and tutorials at national and international HPC conferences and workshops
*This position is eligible for LBNL's Employee Referral Program benefit(s).
Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here to view the poster and supplement: "Equal Employment Opportunity is the Law."
Internal Number: 87727
About Lawrence Berkeley National Laboratory
In the world of science, Lawrence Berkeley National Laboratory (Berkeley Lab) is synonymous with excellence. Thirteen scientists associated with Berkeley Lab have won the Nobel Prize. Fifty-seven Lab scientists are members of the National Academy of Sciences (NAS), one of the highest honors for a scientist in the United States. Thirteen of our scientists have won the National Medal of Science, our nation's highest award for lifetime achievement in fields of scientific research. Eighteen of our engineers have been elected to the National Academy of Engineering, and three of our scientists have been elected into the Institute of Medicine. In addition, Berkeley Lab has trained thousands of university science and engineering students who are advancing technological innovations across the nation and around the world. Berkeley Lab is a member of the national laboratory system supported by the U.S. Department of Energy through its Office of Science. It is managed by the University of California (UC) and is charged with conducting unclassified research across a wide range of scientific disciplines. Located on a 200-acre site in the hills above the UC Berkeley campus that offers spectacular... views of the San Francisco Bay, Berkeley Lab employs approximately 4,200 scientists, engineers, support staff and students. Its budget for 2011 is $735 million, with an additional $101 million in funding from the American Recovery and Reinvestment Act, for a total of $836 million. A recent study estimates the Laboratory's overall economic impact through direct, indirect and induced spending on the nine counties that make up the San Francisco Bay Area to be nearly $700 million annually. The Lab was also responsible for creating 5,600 jobs locally and 12,000 nationally. The overall economic impact on the national economy is estimated at $1.6 billion a year. Technologies developed at Berkeley Lab have generated billions of dollars in revenues, and thousands of jobs. Savings as a result of Berkeley Lab developments in lighting and windows, and other energy-efficient technologies, have also been in the billions of dollars. Berkeley Lab was founded in 1931 by Ernest Orlando Lawrence, a UC Berkeley physicist who won the 1939 Nobel Prize in physics for his invention of the cyclotron, a circular particle accelerator that opened the door to high-energy physics. It was Lawrence's belief that scientific research is best done through teams of individuals with different fields of expertise, working together. His teamwork concept is a Berkeley Lab legacy that continues today.