Computational Mechanics Software Engineer

1 week ago

Livermore, California, United States Lawrence Livermore National Laboratory Full time

Company Overview

At Lawrence Livermore National Laboratory (LLNL), we are dedicated to enhancing national security through innovative solutions. Our diverse team of experts collaborates to tackle significant challenges and contribute to a safer world.

Position Summary

We are seeking a Computational Mechanics Code Developer to engage in the creation and adaptation of cutting-edge computational mechanics algorithms. This role involves ensuring the accuracy and efficiency of implementations while providing support across various teams addressing complex problems. The position is part of the Computational Engineering Division (CED), which plays a crucial role in supporting Strategic Deterrence Programs.

Key Responsibilities

  • Develop or identify advanced computational mechanics algorithms to enhance modeling capabilities and implement software optimized for high-performance computing environments.
  • Gain proficiency in utilizing finite element-based simulation tools such as ParaDyn, Diablo, or ALE3D.
  • Assess algorithms for present and future problem sets, building a repository of knowledge to guide users and formulate strategies for enhancements.
  • Engage proactively with users to evaluate software performance and resolve moderately complex modeling or software issues.
  • Adapt software development and quality assurance practices, contributing to their ongoing enhancement.
  • Document findings in technical reports, publish research in peer-reviewed journals, and present outcomes at scientific conferences.
  • Collaborate with internal and external partners on technical practices related to mechanical and structural systems.
  • Perform additional duties as assigned.

Additional Responsibilities for Higher Level

  • Lead initiatives in the development and application of innovative methods in areas such as:
    • Manufacturing challenges.
    • Multi-scale and multi-simulation models, potentially incorporating Machine Learning/AI.
    • Utilization of emerging computational hardware (e.g., GPUs) and relevant programming paradigms for efficient and scalable simulations.

Qualifications

  • Must be able to obtain and maintain a U.S. DOE Q-level security clearance, requiring U.S. Citizenship.
  • PhD in Engineering or Computational Mechanics, ideally with a focus on solid mechanics, or a comparable combination of education and experience.
  • Proficient in C/C++ or Fortran programming languages.
  • Extensive knowledge in at least one of the following areas: advanced spatial discretization for large deformation response, nonlinear response representations for various materials, coupled multi-physics simulations, additive manufacturing, or numerical methods for fracture.
  • Experience in conducting independent research.
  • Strong verbal and written communication skills essential for effective collaboration and technical presentations.
  • Willingness to travel as needed.

Preferred Qualifications

  • Familiarity with finite element methods in computational mechanics.
  • Experience with software implementations on parallel systems and heterogeneous architectures.
  • Knowledge of constitutive model development for various solid materials.
  • Experience with machine learning/deep learning frameworks (e.g., PyTorch, TensorFlow) and proficiency in Fortran.
  • Familiarity with commercial software such as Flow3D, Ansys, or Abaqus, particularly in relation to Additive Manufacturing simulations.

Position Information

This is a Career Indefinite position, open to both internal and external candidates.

Why Choose Lawrence Livermore National Laboratory?

  • Recognized as one of the Best Places to Work.
  • Comprehensive benefits package.
  • 401(k) plan.
  • Relocation assistance available.
  • Education reimbursement opportunities.
  • Flexible work schedules based on project requirements.

Security Clearance Requirement

This position necessitates a Department of Energy (DOE) Q-level clearance. A Federal background investigation will be initiated to determine eligibility for access to classified information.

Equal Employment Opportunity

We are an equal opportunity employer committed to fostering a work environment free from discrimination and harassment. All qualified applicants will be considered for employment without regard to any characteristic protected by applicable laws.

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