Senior Scientific Software Engineer (Fed Gov) 3850

RESPEC is seeking a Senior Scientific Software Engineer to support scientific computing work for a large National Laboratory. You’ll help sustain and modernize computational modeling software used in a high-consequence environment, with a focus on reliable, maintainable code and performance on Linux and HPC systems.

Core Responsibilities

• Sustain, analyze, and modernize scientific software, including legacy systems.
• Refactor code to improve portability, efficiency, maintainability, and stability.
• Support computational modeling across conceptual, process, and numerical models.
• Debug, profile, benchmark, and assess software performance and scalability.
• Support Linux development, HPC workflows, and job-scheduler use.
• Apply software quality practices, testing, and verification and validation.
• Document source code, technical debt, risks, and software workflows.
• Support reproducible builds, scientific data workflows, and migration readiness.
• Perform work in accordance with applicable Nuclear Quality Assurance (NQA-1) requirements.

Required Technical Experience

• Master’s degree in computer science, engineering, or a related discipline, such as environmental science, mathematics, or physics, and at least 5 years of relevant experience in computational modeling, software development, and documentation; or
• Bachelor’s degree in a related discipline and at least 10 years of relevant experience.

Recent project experience

• At least one project within the 5 years preceding the response deadline involving both computational modeling and software development in a regulated, safety-critical, high-consequence, or equivalent mission-critical environment.
• Ability to describe the project’s environment, tasks, responsibilities, and deliverables, and explain why the work was high-consequence or mission-critical.

Technical skills

• Scientific programming with Fortran, Python, and C and/or C++.
• GNU/Linux or equivalent development environments, including build, compilation, and debugging toolchains.
• HPC systems and job schedulers such as Slurm or equivalent.
• Bash or equivalent Unix/Linux shell scripting.
• Software quality practices, testing, and scientific data formats and workflows.
• Debugging, profiling, performance analysis, and legacy-code modernization.
• Git or equivalent version control and reproducible builds.
• Source-code documentation tools such as Doxygen or equivalent.
• Python 2 and Python 3
• C and C++
• OpenMPI, MPICH, or Intel MPI
• Serial and parallel scientific codes

Featured benefits:

• Flexible Work Schedules
• Paid Parental Leave
• 401(k) & ESOP (with company match up to 4%)
• Professional Development and Training
• Tuition Reimbursement
• Employee Assistance Program
• Medical/Dental/Vision Insurance Plans

All your information will be kept confidential according to EEO guidelines.