Senior Software Engineer

Tech Army, LLC; Carlsbad (NM); On-site; USD 110,000 - 160,000; Full time

Job summary

Tech Army, LLC in Carlsbad, NM, seeks a Senior Software Engineer to provide virtual scientific computing support for an existing computational framework. The role emphasizes sustainment, modernization, performance optimization, HPC readiness, and transition of 3D modeling capabilities in a regulated environment.

The candidate should have SME-level expertise in computer science methods, computational modeling, and technical documentation, with experience in GNU/Linux, build systems, and

Qualifications

• Master's degree or equivalent with related field.
• Bachelor plus 10 years of relevant experience accepted.

Responsibilities

• Provide scientific computing and software engineering support for an existing framework.
• Sustain, modernize, and optimize legacy scientific software and computational systems.
• Support transition and development of evolving 3D modeling capabilities.
• Perform software development, analysis, refactoring, verification and validation.
• Improve software performance, portability, and maintainability across computing platforms.
• Prepare and maintain technical documentation.
• Support HPC readiness and migration to Linux environments.
• Improve workflow reproducibility and support repeatable builds.
• Identify technical debt and high-risk code areas.
• Conduct performance benchmarking and profiling.
• Ensure compliance with NQA-1 requirements.

Skills

Fortran

Python

C/C++

Linux development

Bash scripting

Education

Master's degree in Computer Science, Engineering, or related

Bachelor's degree with at least 10 years of relevant experience

Tools

Git

Slurm

Doxygen

GNU/Linux toolchains

Job description

The Senior Software Engineer will provide virtual scientific computing support to sustain and modernize an existing computational framework supporting a scientific computing environment in Carlsbad, New Mexico.

The role requires a Subject Matter Expert (SME) with expertise in computer science methods, computational modeling, scientific software development, and technical documentation. The individual will support the sustainment, modernization, performance optimization, High-Performance Computing (HPC) readiness, and transition of evolving three-dimensional modeling capabilities.

Responsibilities will include software development, analysis, refactoring, verification and validation, documentation, performance improvement, platform portability, workflow reproducibility, and migration readiness for Linux-based computing environments. All work must comply with Nuclear Quality Assurance (NQA-1) requirements.

Minimum Qualifications

Candidates must meet one of the following education and experience requirements:

• Master's degree in Computer Science, Engineering, or a related discipline, such as Environmental Science, Mathematics, or Physics.
• Bachelor's degree in a related discipline with at least 10 years of relevant experience.

Additional Experience Requirements:

• Minimum of 5 years of experience in computational modeling, software development, and software documentation.
• Experience supporting legacy software and systems.
• Experience working in regulated, safety-critical, high-consequence, or mission-critical computational environments.

Key Responsibilities

• Provide scientific computing and software engineering support for an existing computational framework.
• Sustain, modernize, and optimize legacy scientific software and computational systems.
• Support the transition and development of evolving three-dimensional modeling capabilities.
• Perform software development, technical analysis, code refactoring, verification, and validation.
• Improve software performance, maintainability, stability, and portability across computing platforms.
• Prepare and maintain technical and software documentation.
• Support High-Performance Computing (HPC) readiness and migration to Linux-based computing environments.
• Improve workflow reproducibility and support repeatable software builds.
• Identify technical debt, fragile code areas, and software maintainability risks.
• Conduct performance benchmarking, profiling, and scalability assessments.
• Ensure all work complies with applicable Nuclear Quality Assurance (NQA-1) requirements.

Required Technical Qualifications

1. Programming and Software Development

• Experience programming in mixed-language scientific software environments, including:
• Fortran
• Python
• C and/or C++
• Experience developing, maintaining, and supporting scientific software and legacy systems.
• Experience with software documentation and quality practices.
• Experience working in GNU/Linux or equivalent Linux-based development environments.
• Familiarity with associated build, compilation, and debugging toolchains.
• Experience with Bash or equivalent Unix/Linux shell scripting.

3. High-Performance Computing (HPC)

• Experience working with HPC systems.
• Experience using HPC job schedulers, such as Slurm or equivalent workload management systems.
• Experience supporting HPC readiness, performance optimization, and computational workloads.

4. Computational Modeling

• Demonstrated ability to adapt to and work effectively with a broad range of conceptual, process, and numerical models.
• Experience supporting computational modeling and scientific software in regulated, safety-critical, high-consequence, or equivalent mission-critical environments.

Additional Technical Experience Requirements

Candidates must demonstrate experience in the following areas:

1. Computational Modeling and Scientific Software Support

• Experience in computational modeling, software development, and software documentation.
• Experience sustaining legacy scientific software in regulated, high-consequence, or equivalent mission‑critical environments.

2. Code Standards and Data Handling

• Experience applying software code standards or equivalent software quality practices.
• Experience conducting software testing.
• Experience working with scientific or technical data formats, storage structures, and data-processing workflows.

3. Debugging and Performance Analysis

• Proficiency with debugging, profiling, and performance‑analysis tools and methods used in scientific computing, technical computing, or HPC environments.
• Experience improving the portability, efficiency, maintainability, stability, or other quality attributes of legacy scientific software.
• Ability to create or update source code documentation using Doxygen or equivalent automated documentation approaches.
• Experience documenting both existing and newly developed code to improve clarity, traceability, and maintainability.

6. Technical Debt Identification

• Experience identifying and documenting technical debt, fragile or high‑risk code areas, and software maintainability concerns.

7. Version Control and Reproducible Builds

• Knowledge of version‑control concepts and workflows, such as Git or equivalent systems.
• Experience implementing practices that support reproducible or repeatable software builds.

8. Performance Benchmarking

• Experience conducting performance benchmarking, scalability assessments, load‑characterization studies, or equivalent performance evaluations for scientific or computational software.