Python Software Developer

Are you energized by the challenge of building robust data management systems that become the backbone of critical scientific work Do you light up at the intersection of solid software engineering and cutting-edge AI capabilities Were seeking a software engineer who shares our excitement for creating elegant scalable data solutions while pushing the boundaries of whats possible with artificial intelligence. This is your opportunity to work on systems where traditional engineering excellence meets the transformative potential of AI.

We are seeking a Python Software Engineer to design and develop discrete and continuous scientific simulation software supporting complex industrial and physics-based modeling efforts. This role sits at the intersection of software engineering and scientific computing working across projects at varying stages of maturity from early prototypes to production-grade tools. Youll work closely with scientists engineers and domain experts to translate evolving scientific requirements into robust well-architected and maintainable software.

This position is within the Global Security Computing Applications Division (GS-CAD) of the Computing Directorate matrixed to the Global Security Directorate.

This position offers a hybrid schedule blending in-person and virtual presence. You will have the flexibility to work from home up to 2 and at times 3 days per week.

You will

• 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 to assist scientists interpret simulation results.
  • Integrate simulation and computation libraries with other platforms applications and data pipelines.
• Troubleshoot issues that span software computational methods and scientific/engineering domains.
• Collaborate with multidisciplinary teams including scientists engineers and other developers to gather requirements participate in design reviews and deliver high-quality solutions to complex problems.
• Contribute to software quality assurance including defining test strategies reviewing test coverage and ensuring compliance with project and organizational software standards.
• Support the transformation of conceptual and physics-based models into well-structured extensible software as scientific understanding matures.
• Perform other duties as assigned.

Qualifications :

• Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
• Bachelors 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.

Qualifications We Desire

• Masters degree in computer science computer engineering or a related technical field.
• Experience with C/C particularly for performance-critical or legacy scientific code integration.
• Familiarity with scientific/numerical modeling concepts (e.g. differential equations discrete-event simulation or physics-based simulation).
• Experience with HPC job schedulers (e.g. Slurm) or parallel/distributed computing.
• Experience with data visualization frameworks (e.g. Matplotlib Plotly VTK ParaView).
• Experience with CI/CD pipelines and containerized deployment (Jenkins Docker Kubernetes).
• Experience working in a national lab DOE or other regulated/classified research environment.

Pay Range

$175530 - $222564 Annually

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage.  An employees position within the salary range will be based on several factors including but not limited to specific competencies relevant education qualifications certifications experience skills seniority geographic location performance and business or organizational needs.

Additional Information :

#LI-Hybrid

Position Information

This is a Career Indefinite or At Will appointment. Lab employees and external candidates may be considered for this position.

Why Lawrence Livermore National Laboratory

• Included in 2026 Best Places to Work by Glassdoor!
• Flexible Benefits Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (*depending on project needs)
• Our values - visit  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. Also all L or Q cleared employees are subject to random drug testing.  Q-level clearance requires U.S. citizenship. 

  Pre-Employment Drug Test

  External applicant(s) selected for this position must 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.

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  Remote Work :

  No

  
  

  Employment Type :

  Full-time