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.