Senior Scientific Software Engineer

Responsibilities

Software Architecture & Design

• Architect, develop, and maintain Python-based systems for data analysis, visualization, and internal workflows.
• Lead technical design from early research prototypes through production deployment.
• Partner with researchers and engineers to translate experimental and modeling requirements into scalable software solutions.
• Establish best practices for testing, documentation, CI/CD, and deployment in containerized environments.

Data Pipelines & Analysis

• Design and support data processing pipelines, including large-scale and streaming datasets.
• Build interactive, multi-user tools for exploratory data analysis and visualization.
• Contribute to machine learning systems, including model integration, training pipelines, and support for real-time or adaptive control workflows.

Performance & Integration

• Integrate Python applications with high-performance computing (HPC) or legacy codes (C++/Fortran) and distributed compute systems.
• Optimize performance-critical components using parallel, GPU-accelerated, or distributed computing techniques as appropriate.

Technical Leadership

• Mentor engineers and provide technical leadership across projects.
• Serve as a senior member of the software team, setting direction and raising the bar for technical quality.

Qualification

• Education: Bachelor's degree in Computer Science, Engineering, Physics, Applied Mathematics, or related field; advanced degree preferred.
• Experience: 7+ years of professional software development experience in technical, data-intensive, or research-driven environments.
• Expert-level Python skills and strong experience with numerical and data libraries (NumPy, SciPy, Pandas, Matplotlib, Scikit-Learn).
• Demonstrated ability to design and own complex software systems under ambiguous or evolving requirements.
• Experience collaborating closely with non-software domain experts and supporting experimental or simulation workflows.
• Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Desired

• Experience working with 3D geometry or CAD data (STEP, IGES, STL, BREP) and related libraries (OpenCASCADE, VTK, PyVista).
• Familiarity with structured scientific data formats (HDF5, NetCDF, VTK, custom binary formats).
• Experience interfacing Python with C/C++ or Fortran (pybind11, Cython, f2py, nanobind).
• Strong background in parallel, GPU, or distributed computing (MPI, CUDA, OpenACC).
• Experience with machine learning systems in production environments.
• Background supporting real-time systems, feedback loops, or adaptive control applications.
• Experience with containerization and orchestration (Docker, Apptainer, Kubernetes) as well as HPC environments and job schedulers (SLURM).