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- Our predictive capability is the world's foremost predictive tool for nuclear criticality safety simulations and plays a central role in many fields including nuclear energy, nuclear medicine, and radiation safety.
- We develop the widely used MCNP Monte Carlo particle transport software ( ) and are developing new capabilities with the C
- The successful candidate will develop and maintain the group's production Monte Carlo particle transport software, which include the Fortran based MCNP (Monte Carlo N-Particle) software and C
- Additionally, you will be expected to be more self-guided in seeking out new opportunities and novel applications of our software to the areas of stockpile stewardship, nonproliferation, criticality safety, radiation protection, threat reduction, nuclear energy, and basic science.
- At the higher level the candidate should have experience in software engineering practices as well as experience in programming methodologies for high performance computing including MPI, OpenMP, or CUDA.
- Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental
- Receipt of a Q clearance and additional access authorization ultimately is a decision of the Federal Government and not of Triad.
- Los Alamos National Laboratory is an equal opportunity employer and supports a diverse and inclusive workforce.
Monte Carlo Computational Scientist - Los Alamos, United States - Los Alamos National Security, LLC
