Group Lead (Computer Languages and System Software Group)

Group Lead (Computer Languages and System Software Group) - 90188

Organization: CR-Computational Research

The Computer Languages and System Software Group (CLaSS) in the Computing Research Division (CRD) at Lawrence Berkeley National Laboratory (LBNL) is hiring for a Group Lead. 

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. Research topics include but are not limited to design, implementation and optimization of parallel programming languages, compilers, operating systems, and advanced communication and run-time libraries. This builds on the group’s long history of leadership in this area with the development of the GASNet communication library, UPC programming language, UPC++ library, data-centric programming models, Operating Systems / Runtimes, and the software stack for quantum computers. 

What You Will Do:

• Provide technical and administrative leadership for the CLaSS Group including, but not limited to, the topic areas listed above. Exhibit creativity and ingenuity that leads to significant scientific breakthroughs in an area of applied mathematics, computational mathematics, computer science, computational science, or a related field that is relevant to the Department of Energy (DOE) and LBNL.
• Secure funding for an active research and development program in his/her technical areas.
• Lead significant projects and programs in the group, take accountability for results, and represent the Department and Division to funding agencies.

In addition to the above, the Sr. Scientist will:

• Lead a group of staff members to maintain a recognized track record of performing independent scientific research in an area of programming languages, operating systems, communication libraries, quantum computing programming systems, and other components of an advanced parallel programming environment for scientific computing. 
• Be responsible for setting new research directions that are responsive to evolving computing needs of DOE science. 
• Organize and coordinate R&D projects and collaborations; provide technical leadership and develop strategies in support of the group’s research agenda. 
• Work with other group leads in the division and science partners to strengthen collaborations with other scientific divisions at LBNL and elsewhere.
• Communicate strategic priorities, directions, group-wide research highlights and accomplishments upward to division and lab management, as well as to program management at DOE and other agencies. 
• Perform personnel management activities, which include performance management, salary management, and recruitment of a diverse group that includes scientists, computer systems engineers, postdoctoral fellows, graduate and undergraduate student assistants, and affiliates. 
• As a Group Lead, perform funding proposal development and submission, as well as conduct original high quality research, both as an individual contributor, as well as a mentor and support for these activities for other staff in the group.

What is Required:

• Ph.D. in Computer Science, or related fields, or overall equivalent experience and at least five years of experience conducting original research in one or more topic areas in the CLaSS portfolio.
• Established track record of research accomplishments and record of funding in these areas. 
• Ability to facilitate setting strategic research directions within the group, and the broader lab and DOE scientific community.
• Experience with using and developing cutting edge software and hardware prototypes in a research environment.
• Highly self-motivated and willing to learn new technologies.
• Excellent written and oral communication skills.

Additional desired qualifications:

• High level of scientific innovation and creativity. 
• International recognition as an authority and world leader in a relevant field. 
• An established, independent, and internationally recognized record of outstanding research.
• Deep understanding of theory, implementation and optimization of programming languages. 
• Deep understanding of advanced computer and HPC systems architecture (CPU/GPU, caches, memory systems and interconnect networks), and their contributions to the overall system performance.

The posting shall remain open until the position is filled, however for full consideration, please apply by close of business on June 15, 2020.

Notes:

• This is a full-time career appointment, exempt (monthly paid) from overtime pay.
• This position will be hired at a level commensurate with the business needs; and skills, knowledge, and abilities of the successful candidate. 
• 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.
• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

How To Apply

Apply directly online at http://50.73.55.13/counter.php?id=181915 and follow the on-line instructions to complete the application process.

Learn About Us:

Working at Berkeley Lab has many rewards including a competitive compensation program, excellent health and welfare programs, a retirement program that is second to none, and outstanding development opportunities.  To view information about the many rewards that are offered at Berkeley Lab - Click Here (https://hr.lbl.gov/).

Berkeley Lab (LBNL, https://www.lbl.gov/) addresses the world’s most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab’s scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy’s Office of Science.

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