Postdoctoral Appointee -- Computer Science -- System Software for Future Energy-Efficient Scientific Platforms

We are seeking a Postdoctoral Appointee to work in the Mathematics and Computer Science (MCS) Division of the Computing, Environment, and Life Sciences directorate (CELS) of Argonne National Laboratory. This is an opportunity to be part of a team helping with the design of new system software and runtime infrastructure to improve the performance and energy efficiency of future scientific computing platforms, with collaborations with the Argonne Leadership Computing Facility and the Advanced Photon Source.

This postdoc will contribute to the design and implementation of a software infrastructure for the deployment, monitoring, and optimization of complex scientific data streaming workflows for current and future production infrastructures. The project will involve close collaboration with a team of systems experts across system software, power management infrastructure, performance characterization, networking, and novel computer architectures and accelerators. It will also involve collaboration with leading applications in beamline science and high energy physics, as well as interaction with device and materials researchers.

Primary responsibilities will be to design and implement new methods to deploy, monitor, and optimize for energy efficiency HPC applications and high performance data stream analytics workloads. Use of novel accelerator designs, and automatic methods to model/predict how performance would change on new architectures will be a key focus.

Position Requirements

Required skills, knowledge and experience:

• A recently completed (within the last 0-5 years) or soon-to-be completed PhD. in computer science or related computational engineering disciplines.
• Experience with simulation frameworks for complex computer systems and architectures.
• Some knowledge of accelerator (CUDA, SYCL, HIP) and scientific instrument programming.
• Interest in software development, in particular, expertise in C or C++ and Linux/Unix programming and Python.
• Familiarity with scientific productivity, as demonstrated by publications and conference presentations.
• Effective oral and written communication skills.
• Ability to model Argonne's core values: impact, safety, respect, integrity, and teamwork.

Desired skills, knowledge and experience:

• Familiarity with machine learning hardware
• Familiar with high performance scientific infrastructure

Job Family

Postdoctoral

Job Profile

Postdoctoral Appointee

Worker Type

Long-Term (Fixed Term)

Time Type

Full time

The expected hiring range for this position is $70,758.00 - $110,379.55.

Please note that the pay range information is a general guideline only. 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, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

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As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.