Join us and make YOUR mark on the World!
Come join Lawrence Livermore National Laboratory (LLNL) where we apply science and technology to make the world a safer place; now one of 2020 Best Places to Work by Glassdoor!
We have multiple openings for computational engineers to conduct basic and applied research in the optimization, simulation, and design of physical and engineered systems. You will work collaboratively and independently to extend and develop physics-based design optimization tools. The team is working to both extend the state-of-the-art and support Laboratory missions. These positions are in the Computational Engineering Division (CED) of the Engineering Directorate.
- Develop and implement HPC algorithms and simulations for the optimal design of engineering systems governed by nonlinear, transient, multiscale, and multiple physical phenomena that include uncertainties in geometry and material properties.
- Contribute to solving challenging design optimization problems.
- Develop forward model, continuum simulations to solve the governing partial differential equations of physical systems necessary for advanced design.
- Document research through presentations and peer-reviewed journal articles and contribute to identifying future research directions and proposals that will provide opportunities in the field.
- Perform other duties as assigned.
In Addition at the SES.3 Level
- Guide the establishment of future research directions and influence proposals that will provide future research opportunities in the field.
- Identify and solve challenging design optimization problems highlighting capabilities and establishing credibility with mission customers.
- Ph.D. in Engineering, Mathematics, Computational Science, or a related field, or the equivalent combination of education and related experience.
- Knowledge of shape/topology optimization techniques and algorithms.
- Experience developing simulation tools using continuum approaches (e.g., finite elements) for physical systems.
- Experience programming skill in C/C++/FORTRAN and scripting languages including Python/Matlab.
- Comprehensive experience with explicit design sensitivity analysis via direct (forward) and adjoint (backward) methods.
- Knowledge of massively-parallel computing and one or more associated parallel programming interfaces, such as MPI, OpenMP, or CUDA.
- Proficient verbal and written communication skills needed to effectively collaborate in a team environment, present and explain technical information, document work, prepare and present successful proposals and high-quality research papers.
In Addition at the SES.3 Level
- Advanced knowledge of shape/topology optimization techniques and algorithms.
- Significant experience developing simulations tools using continuum approaches (e.g., finite elements) for physical systems and advanced programming skill in C/C++/FORTRAN and scripting languages including Python/Matlab.
- Significant experience with explicit design sensitivity analysis via direct (forward) and adjoint (backward) methods and experience with massively-parallel computing and one or more associated parallel programming interfaces, such as MPI, OpenMP, or CUDA.
- Advanced verbal and written communication skills needed to effectively collaborate in a team environment, present and explain technical information, document work, prepare and present successful proposals and high-quality research papers.
- Exposure to machine learning and other data science techniques.
Pre-Employment Drug Test: External applicant(s) selected for this position will be required to pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.
Security Clearance: This position requires a Department of Energy (DOE) Q-level clearance.
If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. In addition, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship. If you hold multiple citizenships (U.S. and another country), you may be required to renounce your non-U.S. citizenship before a DOE L or Q clearance will be processed/granted. For additional information, please see DOE Order 472.2.
Note: This is an At Will appointment. Lab employees and external candidates may be considered for this position.
Lawrence Livermore National Laboratory (LLNL), located in the San Francisco Bay Area (East Bay), is a premier applied science laboratory that is part of the National Nuclear Security Administration (NNSA) within the Department of Energy (DOE). LLNL's mission is strengthening national security by developing and applying cutting-edge science, technology, and engineering that respond with vision, quality, integrity, and technical excellence to scientific issues of national importance. The Laboratory has a current annual budget of about $2.1 billion, employing approximately 6,800 employees.
LLNL is an affirmative action/ equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, protected veteran status, age, citizenship, or any other characteristic protected by law.