About The Position

The Jefferson Lab Scientific Computing Department, within the Computational Sciences and Technology (CST) division, is seeking applicants with extensive experience in the area of Computational Physics and high-performance computing (HPC). The successful candidate will closely interact with members in the Scientific Computing department and researchers from the Theory Center to support critical research programs in Lattice Quantum Chromodynamics (LQCD) calculations, and to contribute to program development in advanced computing for Nuclear Physics and Computational Science. This position provides excellent opportunities for career development in both physics and computer/computational science in a world leading research establishment, further enhanced by the upcoming High Performance Data Facility (HPDF).

Requirements

  • 3 years of relevant experience.
  • Bachelor's Degree
  • Demonstrated knowledge of computer algorithms relevant to the computational domain.
  • Experience of efficient implementation of some of these algorithms targeting specific computing architectures
  • Proficient in C or C++ along with scientific Python computing stack.
  • Experienced with modern development methods and tools
  • Excellent verbal and written communication skills are essential.

Nice To Haves

  • Experience working on high performance computing projects and the research background in computational LQCD.
  • Extensive experience with MCP (Model Context Protocol).
  • Experience with modern development methods and tools.
  • Experience in Agentic AI Framework such as LangGraph.
  • Ph.D. in Theoretical Physics, Computational Science, or Computer Science
  • Developing parallel software using OpenMP and MPI.
  • Heterogeneous computing using CUDA/ROCm, or OneAPI/SYCL.
  • Highly proficient in navigating complex HPC job scheduling systems such as SLURM.
  • Experienced in Agentic AI Framework such as LangGraph
  • Knowledge in agentic AI.

Responsibilities

  • Conduct research and development in lattice QCD (LQCD) methods, focusing on architecture‑specific performance optimization for high‑performance computing systems at DOE Leadership Computing Facilities.
  • Designing and implementing efficient, state‑of‑the‑art numerical algorithms and integrating them seamlessly into the existing LQCD software stack.
  • Participate and support the computational campaigns of the Theory Center including software development, building and deployment both on local and remote computing resources.
  • Design and develop AI agentic HPC workflows to automate scientific discovery across geographically distributed computing locations.
  • Utilize Model Context Protocol (MCP) to create autonomous fabrics between scientific models and distributed infrastructure.
  • Evaluate emerging computing architectures to contribute future hardware acquisition and strategy.

Benefits

  • Medical, Dental, and Vision Care Plans
  • Flexible Spending Accounts
  • Paid Time-off and Leave Programs (Paid Parental, vacation, holidays, and sick leave)
  • 401(k) Plan – 9% Lab Contribution; 100% vested
  • Flexible Work Arrangements (Remote & Alternate Work Schedules available)
  • Tuition Assistance, Training and Professional Development Programs
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