Senior Engineer, Scientific Software, Modeling and Simulation

Kairos Power

. Design, implement, test, and maintain scientific and engineering software in Python and C++, including computational modeling methods and numerical algorithms .

Posted 10/13/2026full-timeRemote • California • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing, implementing, and maintaining scientific and engineering software using Python and C++. Proficient in software architecture, performance optimization, and automated testing within high-performance computing environments.

Highest-signal resume keywords

Python Software DevelopmentC++ Software DevelopmentSoftware ArchitectureAutomated Testing (PyTest, GoogleTest)HPC Workflows (Slurm, MPI)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Computational Modeling MethodsNumerical AlgorithmsPerformance ProfilingVersion Control (Git)Linux ProficiencyBash ScriptingDockerCondaCMakeGPU Computing

Soft Skills

Mentoring EngineersTechnical CommunicationCollaboration with Non-Software Engineers

Tools & Technologies

ApptainerGitHub ActionsDoxygenSphinxAWSGoogle Cloud

Industry Keywords

Scientific SoftwareEngineering SoftwareHigh-Performance ComputingDepartment of Energy ComplianceSoftware Quality Assurance

Tech Stack

Tools & technologies

AWSCloudDockerLinuxPythonC++

About the role

Key responsibilities & impact

Design, implement, test, and maintain scientific and engineering software in Python and C++, including computational modeling methods and numerical algorithms
Own software architecture for internally developed engineering tools
Profile and optimize performance based on measurable requirements
Collaborate with nuclear and non-software engineers to define software projects
Own CI/CD with automated testing, quality gates, and controlled release
Build reproducible packaging pipelines for Python packages, Conda environments, and C++ binaries/libraries
Own artifact publication and versioning
Diagnose compilation, dependency, environment, and runtime problems
Establish and maintain Docker and Apptainer container build and runtime patterns for development and HPC
Uphold software quality assurance requirements and automate compliance in pipelines
Define reproducible artifacts, records, and gates for controlled software delivery
Support software quality audits with tooling-generated evidence
Develop and support HPC workflows using Slurm, Open OnDemand, MPI, and GPU computing
Improve engineers’ and scientists’ modeling and simulation workflows
Build self-service engineering workflows and documentation
Establish design, documentation, and maintainability standards
Conduct technical design and code reviews
Mentor engineers and transfer knowledge through documentation and shared ownership
Evaluate build-versus-buy decisions and select standard, supported tools
Participate in the engineering help queue and communicate technical resolutions
Travel as needed for workshops and project assistance

Requirements

What you’ll need

Bachelor’s degree in computer science, engineering, physics, mathematics, computational science, or a related technical field, or equivalent combination of education and practical experience
5+ years of relevant software engineering experience, including scientific, engineering, computational, or technically complex software
Strong experience developing scientific or engineering software in both Python and C++
Experience implementing computational modeling methods, numerical methods, or comparable quantitative algorithms
Demonstrated software architecture experience, including problem decomposition, interface definition, and reasoning about maintainability, performance, and long-term cost
Experience with automated unit and integration testing, such as PyTest or GoogleTest
Proficiency with Git, Linux, Bash, and SSH
Experience mentoring engineers and conducting design and code reviews
Track record of building maintainable software supported by clear documentation and knowledge transfer
Ability to work with nuclear engineers, computational scientists, and other non-software specialists
Ability to occasionally work weekends, flexible schedules, and extended hours
Ability to meet Department of Energy Part 810 export-control access requirements for the facility
Master’s or Ph.D. in a related discipline is desirable
Experience with Docker, Apptainer, Conda, CMake, GitHub Actions, performance profiling, HPC, Slurm, Open OnDemand, MPI, GPU computing, Doxygen/Sphinx, relational databases, backend APIs, AWS/Google Cloud, and infrastructure as code is desirable

Benefits

Comp & perks

Competitive compensation packages
Medical, dental and vision benefits for employees and their dependents
Paid Vacation
401(k)
Pre-tax health insurance, dependent care, and commuter benefits (FSA)
Remote work option