The Research Scientist will take on a senior role in an effort to develop and apply an innovative new modeling and simulation flow that quantifies the impact of new device technologies and manufacturing techniques for computation and memory will have on application performance. A successful applicant will have demonstrated experience with the design and implementation of modeling and simulation of semiconductor devices, general purpose processing elements, specialized accelerators, memories, and understanding of 3D integration methods. A successful applicant will also establish strong collaborations to use this simulation flow as part of research projects in adjacent fields.
The Computer Architecture Group is interested in the design, architecture and programming of future HPC systems to enable continued scientific research. A timely question for our group is how to continue performance scaling in the face of reduced technology node scaling, commonly referred to as Moore’s Law. In order to enable continued performance scaling of computing hardware we are investigating all options from specialized hardware accelerators, mico-architectural enhancements, new devices to replace existing CMOS transistors, emerging memories, 3D, and photonics.
What you will do:
Design and implement a multi-scale modeling and simulation environment to model the impact of a wide range of emerging device technologies on HPC applications and system design.
Work closely with the developers of compact device models for incorporation into the simulation framework, including developers of other relevant technologies.
Provide expertise in developing long-term strategies for modeling and simulation efforts.
Provide expertise in setting research direction and priorities for future computing architectures.
Collaborate with algorithm and software developers for the purpose of making this framework easily accessible to them.
Apply the completed modeling and simulation flow as part of research and development efforts targeting new computational architectures for all aspects of scientific computing.
Participate in all requested assignments, including research, preparation of proposals, documentation of results and reporting results to sponsors.
Participate in developing new funding initiatives as needed.
PhD in Computer Science, Applied Mathematics, Computational Science, Mechanical Engineering, Physics or a related discipline with at least 3 years of professional experience, or an equivalent combination of education and experience with a strong background in computational methods and scientific computing
Leading edge knowledge and research expertise emerging device technology.
Demonstrated expertise in working with modeling and simulation methods and software tools for hardware exploration.
Demonstrated expertise in Verilog, C++, Scala and Python.
Familiarity with HPC and scientific computing applications.
Excellent oral and written communication skills.
Demonstrated ability to work effectively as part of a cross-disciplinary team.
This is a full time term appointment with the possibility of renewal or conversion to career based upon several factors, including ongoing operational needs, budget and performance.
Full-time, M-F, exempt (monthly paid) from overtime pay.
Salary is commensurate with experience.
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.
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."
Berkeley Lab (LBNL) 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.