Senior Scientific Software Engineer — Onsite Fusion R&D

Xcimer-Energy; Denver (CO); On-site; USD 168,000 - 198,000; Full time

Benefits offered by this job

Equity

401(k) with company match

Paid parental leave

13 company-paid holidays

Annual company shutdown

Comprehensive medical/dental/vision

Job summary

Xcimer Energy, based in Denver, CO, is seeking a Senior Scientific Software Engineer to lead data-driven software for analysis, visualization, and ML, collaborating with simulation and experimental groups to turn data into scalable tools. You will own architecture and deliver production-grade software in a research-driven environment.

The role emphasizes technical leadership, robust software practices, and strong Python expertise, with a focus on translating evolving requirements into reliable

Qualifications

• 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 with 3D geometry/CAD data and related libraries; familiarity with HPC workflows; MPI/CUDA; containerization and orchestration; ML in production; real-time/adaptive control understanding.

Responsibilities

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

Skills

Python

Data-driven

ML integration

NumPy SciPy Pandas

Team mentorship

C++/Fortran interfacing

Education

Bachelor's in CS/Engineering/Physics/Math

Advanced degree preferred

Tools

Docker

Kubernetes

SLURM

Apptainer

pybind11

Cython

f2py

nanobind

OpenCASCADE

VTK PyVista

MPI CUDA

Job description

Xcimer Energy, based in Denver, CO, is seeking a Senior Scientific Software Engineer to lead data-driven software for analysis, visualization, and ML, collaborating with simulation and experimental groups to turn data into scalable tools. You will own architecture and deliver production-grade software in a research-driven environment.

The role emphasizes technical leadership, robust software practices, and strong Python expertise, with a focus on translating evolving requirements into reliable