Hybrid Python Engineer: Scientific AI and Simulations

Lawrence Livermore National Laboratory; Livermore (CA); Hybrid; USD 176,000 - 223,000; Full time

Benefits offered by this job

Relocation Assistance

Education Reimbursement Program

Flexible schedules

401(k)

Job summary

Lawrence Livermore National Laboratory (LLNL) seeks a Python Software Engineer to design and develop discrete and continuous scientific simulation software supporting complex physics-based modeling. This role sits at the intersection of software engineering and scientific computing, collaborating with scientists and domain experts to translate evolving requirements into robust, well-architected software.

The position is within the Global Security Computing Applications Division (GS-CAD) and

Qualifications

• Ability to secure and maintain a U.S. DOE Q-level security clearance, which requires U.S. citizenship.
• Bachelor's degree in computer science, software engineering, or a related technical discipline, or an equivalent combination of education and relevant experience.
• Advanced knowledge of and hands-on experience with Python, including scientific computing libraries (e.g., NumPy, SciPy, pandas).
• Advanced object-oriented design and implementation skills, with experience architecting maintainable, extensible codebases.
• Demonstrated experience applying solid software engineering practices, such as, clean code, testing discipline, documentation, and code review, to build scalable and secure software.
• Advanced experience with Git or an equivalent modern version control system.
• Ability to work independently on ambiguous or complex problems, exercising sound technical judgment, taking initiative to develop effective solutions, and documenting designs.
• Advanced written and verbal communication skills, necessary to effectively collaborate in a team environment and present and explain complex technical information and provide advice to management.

Responsibilities

• Guide the completion of projects and contribute to the design, development, test, maintenance, and deployment of scientific computation and simulation libraries and tools.
• Support multiple deployment pathways, including desktop, containerized, and HPC/cluster environments.
• Contribute to the design and build data visualization and analysis tools...
• Integrate simulation and computation libraries with other platforms, applications, and data pipelines.
• Troubleshoot issues spanning software, computational methods, and scientific domains.
• Collaborate with multidisciplinary teams to gather requirements and deliver high-quality solutions.
• Contribute to software quality assurance, including defining test strategies and code reviews.
• Support transformation of models into well-structured software as science matures.
• Perform other duties as assigned.

Skills

Python

NumPy

SciPy

pandas

Object-oriented design

Software engineering

Git

Code review

Education

Bachelor's degree in computer science or software engineering

Master's degree (desirable) in a related technical field

Tools

Git

Docker

Kubernetes

Slurm

Job description

Lawrence Livermore National Laboratory (LLNL) seeks a Python Software Engineer to design and develop discrete and continuous scientific simulation software supporting complex physics-based modeling. This role sits at the intersection of software engineering and scientific computing, collaborating with scientists and domain experts to translate evolving requirements into robust, well-architected software.

The position is within the Global Security Computing Applications Division (GS-CAD) and