Scientific Computing [Alonzo W Ashley Fellowship]

Scientific Computing [Alonzo W Ashley Fellowship] SLAC National Accelerator Laboratory - 4.0 Menlo Park, CA Job Details Temporary | Full-time $91,339 - $119,362 a year 11 hours ago Qualifications Software coding Microprocessors Full Job Description SLAC Job Postings Alonzo W Ashley Fellowship The Alonzo W. Ashley Fellowship Program was named in honor of Al Ashley, who retired from SLAC in 1999 after 31 years of dedicated and exemplary service, particularly in the area of championing new college graduates in the sciences and engineering. During his tenure at SLAC, Al pioneered programs that promoted and encouraged career development for employees, and career exploration for talented students. He was a recipient of a 2005 NSF Presidential Award for Excellence in Science, Mathematics and Engineering Mentoring in recognition of his outstanding mentoring efforts and programs that enhanced the participation of new college graduates in science, mathematics, and engineering. Al served as a mentor to hundreds of emerging scientists and engineers during their journey to their chosen field. This program is designed to provide a year-long research/employment experience in each of our six major directorates. The program is intended for post-graduate candidates with the longer-term objective of potentially moving them into regular employment with the lab.

Note :

This is a 1-year term fixed term position with the possibility of extension or conversion to a regular- continuing position. SLAC is a U.S. Department of Energy (DOE) laboratory operated by Stanford University and based in Menlo Park, CA.

Position Overview:

As part of a new effort on energy efficient computing, we have a termed position open for the fundamental understanding and analysis of Quantum-Classical Computing. The project will involve ability to bridge areas of algorithms, software, and hardware across quantum and classical computing. Quantum computing has undergone rapid progression from pipe-dream theory towards realizable, experimental demonstrations of algorithms with potential for quadratic or even exponential speedups over their classical counterparts. These in turn have highlighted the need for flexible and high- performance Quantum-Centric Computing systems that integrate Quantum Processing Units, Graphics Processing Units (GPUs), and Central Processing Units (CPUs) to accelerate discovery of new algorithms for applications. n CEECS, residing in SLAC National Laboratory affiliated with Stanford, we are analyzing and comparing specific features of classical computing with those of quantum computing for development of Quantum-Classical Hybrid (QCH) systems, which can be engineered and scaled by combining the best features of both. The candidate will be designing new ways of setting up measurement and analysis of QCH systems by working with senior scientists and collaborators from research laboratories and different companies. As part of the research analysis, the candidate will be working on performance and power/energy characterization and conducting competitive analysis using benchmarks and workloads of QCH systems to Time Series, Search, Quantum Chemistry, Condensed Matter Physics, etc. You will be also expected to develop both simulation and emulation systems and compare and contrast classical and quantum algorithms running on different computing systems (CPU, GPU, ASIC, FPGA etc) working with the respective team members. These may include assessing the computing requirements for different simulation scenarios and developing accurate models of for energy footprints which can be validated with experiments. The candidate¿s responsibilities lie primarily in the theoretical formalism development, and in the physical interaction with devices to enable measurement and data collection. The candidate is expected to work with the Principal Investigator and the team in analyzing and developing tools for use in related fields. As an exciting new position in Silicon Valley, the hire will have opportunities to be part of the exciting new areas overlapping with extreme computing, Quantum Information Processing, and Artificial Intelligence across several disciplines and work on developing theory and in driving measurements to enable new research. Depending on the progress, the position may lead to a long term opportunity. in designing the laboratory and operating the testing laboratory with senior scientists and collaborators from different companies. As a Computing Systems Performance and Power Analysis Engineer, you will be working on performance and power/energy characterization and conducting competitive analysis using benchmarks and workloads of different Artificial Intelligent systems using different algorithms for analyzing applications in Time Series, Computer Vision, Large Language Models etc. The systems will include combinations of both small-scale and large-scale algorithms running on different computing systems (CPU, GPU, ASIC, FPGA etc). These may include assessing the computing requirements for different simulation scenarios and developing accurate models of for energy footprints which are calibrated with experiments. Your responsibilities lie primarily in the physical interaction with devices to enable measurement and data collection and work with the senior researcher in analyzing and the position is open for onsite fulltime for a limited period in Silicon Valley. As an exciting new position, the hire will have opportunities to be part of the exciting new area of Artificial Intelligence across several disciplines and work on driving measurements to enable new research. Depending on the progress, the position may lead to a long term opportunity.

Your specific responsibilities include:

Develop and apply quantum algorithms for various applications including quantum chemistry and condensed matter physics Design and build platforms that could be used for emulation of quantum systems using mathematical representations Prepare presentations and proposals for funding solicitations in the areas of QCH. Prepare and review drawings, material lists, requisitions, job orders, engineering change requests, and other documents associated with development, fabrication, assembly, installations, and testing. Acquire and maintain software and hardware tools, equipment, and chemicals associated with experimental or engineering projects. Maintain documentation related to research studies and protocols, and perform administrative duties related to equipment and systems associated with research or engineering projects, as assigned. Respond to requests to measure Computer Systems power-performance data for various workloads and benchmarks bridging classical and quantum information systems Build an independent and efficient methodology to enable your work with timely updates and take initiatives to persuade scientific and engineering communities of new concepts Present the power/energy-performance-complexity data in a systematic manner as required for solving challenging problems bridging classical and quantum physics Support complex scientific and research programs related to area of specialization; analyze data, monitor and oversee experimental process, and design and develop prototypes, specialized equipment, and/or systems. Collaborate with scientists, engineers, or senior administrative officers to oversee complex non-routine analyses, select optimum solutions, and perform corrective modifications to equipment and system designs. Participate in the proposal writing, planning, design, and implementation of scientific or engineering initiatives, and work toward project objective in a timely manner. To be successful in this position you will bring: Associate degree or certificate of completion in in Physics, Chemistry, Computer Science, Chemical/Electrical / Computer Engineering or a related engineering or scientific discipline, or three years of equivalent work experience or combination of education and relevant experience. Solid foundation in Quantum Information Processing as applied to both basic and applied problems Expected to be knowledgeable in Quantum Hardware Strong coding in high level languages such C/C+++ Strong scripting skills - Bash / Powershell / Python/Julia Familiarity with Linux (Ubuntu 20.04+ recommended) for being able to develop emulators Background in Artificial Intelligence/Machine Learning methods will be considered a plus In addition, preferred requirements include: BS or MS degree in Physics, Chemistry, Computer Science, Chemical/Electrical / Computer Eng Fundamentals in the basics of Quantum Information Processing including quantum and classical algorithms Fundamentals and experience in understanding the complexity and scaling of different quantum-inspired algorithms Experience with code development Experience with code development and running software on quantum and classical hardware Experience in Linux kernel internals / system programming may be helpful for development of emulators Fundamentals and experience in classical application of quantum algorithms (e.g. density functional theory) will be considered a plus Knowledge of the competitive landscape, feature specifications and industry trends in various algorithms as applied to both quantum and classical systems SLAC employee competencies :

Effective Decisions:

Uses job knowledge and solid judgment to make quality decisions in a timely manner.

Self-Development:

Pursues a variety of venues and opportunities to continue learning and developing.

Dependability:

Can be counted on to deliver results with a sense of personal responsibility for expected outcomes.

Initiative:

Pursues work and interactions proactively with optimism, positive energy, and motivation to move things forward.

Adaptability:

Flexes as needed when change occurs, maintains an open outlook while adjusting and accommodating changes.

Communication:

Ensures effective information flow to various audiences and creates and delivers clear, appropriate written, spoken, presented messages.

Relationships:

Builds relationships to foster trust, collaboration, and a positive climate to achieve common goals.

Physical requirements and working conditions:

Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job.

Work Standards :

Interpersonal Skills:

Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.

Promote Culture of Safety:

Demonstrates commitment to personal responsibility and value for environment, safety and security; communicates related concerns; uses and promotes safe behaviors based on training and lessons learned. Meets the applicable roles and responsibilities as described in the ESH Manual, Chapter 1¿

General Policy and Responsibilities:

Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, As a national laboratory, SLAC National Accelerator Laboratory is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require employees to obtain and maintain a HSPD-12 Personal Identity Verification (PIV) Credential. To obtain this credential, employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. -

Classification Title:

Science and Engineering Associate 1

Grade:

I Job code: 4991

Employment Duration:

1-year fixed term The expected pay range for this position is $91,339 -$119,362 per annum. SLAC National Accelerator Laboratory/Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. At SLAC/Stanford, base pay represents only one aspect of the comprehensive rewards package.