Job description

Xcimer Energy leverages decades of research on Inertial Fusion Energy (IFE) combined with groundbreaking new laser architecture. Our mission is to deploy fusion power plants to meet global decarbonization goals as fast as possible. Xcimer has assembled a team of leaders in tough tech, fusion science, and manufacturing with a track record of rapid execution. Supported by leading investors, Xcimer is uniquely positioned to deliver limitless, clean, fusion power to combat climate change. Join us in powering a better world with inertial fusion! This is a full-time, onsite role based at our headquarters in Denver, CO. As a Senior Scientific Software Engineer , you lead the design and development of software systems that support scientific analysis, visualization, machine learning, and internal applications. You will be part of a high-performing software team working closely with simulation and experimental groups to turn data, models, and control systems into reliable, scalable tools that accelerate R&D. This is a senior, hands-on role with ownership over technical direction and system architecture. A physics background is not required, but you should be comfortable operating in data-driven, research-oriented environments and translating evolving requirements into production-quality software. We are looking for our engineers and scientists to apply their technical expertise, problem solving skills, and dedication to quality to positively impact the future of energy! 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). Equal Employment Opportunity Xcimer Energy is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified, diverse, and dedicated work force. Xcimer Energy hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork, in which all employees recognize and appreciate the diversity of individual team members. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, gender, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Xcimer Energy will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws. Benefits Xcimer offers a comprehensive benefits package designed to support employee health, well-being, and long-term success. Benefits include medical, dental, and vision coverage; basic and supplemental life insurance; short- and long-term disability; paid parental leave for employees at the time of birth or adoption; and a 401(k) with a company match of up to 6%. Eligible employees also receive equity, allowing them to share in the company’s long-term success. Xcimer operates under a flexible Paid Time Off (ATO) approach. Rather than a fixed number of vacation days, employees are trusted to take the time they need to rest and recharge while meeting the expectations of their role and team. In addition, employees receive paid sick time, 13 company-paid holidays, and an annual paid company shutdown. Benefits are available to regular employees, including part-time and fixed-term roles, as well as interns, with eligibility varying by benefit.

Requirements

Must-haves

This is a full-time, onsite role based at our headquarters in Denver, CO.
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.

Nice-to-haves

Education: Bachelor's degree in Computer Science, Engineering, Physics, Applied Mathematics, or related field; advanced degree preferred.
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).

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpythonci/cddockerkubernetesrest

Platform: lever
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave