Job Summary

Kairos Power is looking for a highly motivated Compute Software and Infrastructure intern to work within a small software development team that supports the needs of our design, research, and development organizations. In this role you will support engineering teams in the development of code and compute infrastructure related to the design and analysis of nuclear power systems. This includes implementation of modeling methods in computational physics and mathematics, development of analysis tools, assisting in the application of coding best practices to a variety of software projects, deploying CI/CD pipelines, and building out cloud-based compute infrastructure. You will play a crucial role in supporting all teams in their modeling and development efforts, ensuring that teams have the well-developed, scalable, and robust tools and workflows needed to support and advance the company’s mission. The position requires a strong self-starting mentality and diverse skills across physics, mathematics, and software development.  

Responsibilities:

• Collaborate with nuclear and other non-software engineers to define and develop software projects based on their needs for software tools that support the primary mission of the company.   
• Understand and implement diverse and complex methods across computational modeling and infrastructure applications.
• Develop novel and innovative workflows to achieve the needs of modeling and simulation teams.
• Develop, test, and maintain code that meets internal software quality compliance and best practices in terms of readability, scalability, and performance.  
• Assist in the development and enhancement of CI/CD processes to support efficient code development and deployment.  
• Contribute to the documentation of code, ensuring clarity for current and future team members.  
• Review existing code and recommend optimizations or refactoring where necessary.  
• Assist in developing software standards which other teams will use to develop and deploy code.  
• Manage and support various technical issues submitted to the modeling and simulation ticketing system. 
• Other duties as assigned.

Qualifications: 

• Currently enrolled in a Master of Science or Ph.D. program related to physics, engineering, mathematics, or computational science.
• Strong and demonstrable experience in computational modeling, scientific computing, and software development using multiple languages and tools such as Python, C++, git, bash, ssh, etc.
• Experience in environment management and containerization with tools such as conda, and docker.
• Familiarity with common software concepts such object-oriented programming, polymorphism, data structures, and algorithms. 
• Familiarity with modern coding best practices, including but not limited to:
  • Version Control: Experience with tools such as Git. 
  • Continuous Integration/Continuous Deployment (CI/CD) 
  • Code Review: Understand the importance of peer reviews and feedback loops. 
  • Automated Testing: Experience in writing unit tests and utilizing frameworks like PyTest or GoogleTest.  

• Code Documentation: Familiar with tools such as Doxygen or Sphinx. 
• Cloud Platforms: Experience with AWS or other cloud-based platforms is desired.
• Strong analytical and problem-solving skills. 
• Excellent communication and collaboration abilities. 
• Ability to work with highly collaborative team. 
• Ability to solve problems quickly and efficiently.
• Prioritizes and ensures safety of oneself and others.
• Ability to proactively collect, manage and transfer knowledge.
• Ability to seek different and novel ways to create efficiencies when working on problems, challenges, and issues. 

Environmental Conditions  

• General office environment or remote work setting.
• High-concentration, demanding and fast-paced. 

The hourly range for this position is $32-34 for employees working onsite at our Alameda, CA headquarters. The range provided in this job posting represents the typical range or starting rate of candidates hired in California. Factors that may be used to determine your actual salary may include your education, experience, knowledge, skills, abilities, the market data for your work location, and a comparison to other employees already in the role.

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