Senior Scientific Software Engineer (Fed Gov)

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. Qualifications 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 Additional Information 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