Compute Software and Infrastructure Intern

Posted 10 Hours Ago
Be an Early Applicant
2 Locations
Remote
Internship
Energy
The Role
The Compute Software and Infrastructure intern will support engineering teams in developing code and compute infrastructure for nuclear power system design and analysis. Responsibilities include implementing modeling methods, developing analysis tools, managing CI/CD pipelines, and assisting in coding best practices within a collaborative software team.
Summary Generated by Built In

Company Overview

Kairos Power is a new nuclear energy technology and engineering company whose mission is to enable the world’s transition to clean energy, with the ultimate goal to dramatically improve people’s quality of life while protecting the environment. This goal will be accomplished through the commercialization of the fluoride-salt-cooled, high-temperature reactor (FHR) that can be deployed with robust safety, affordable costs, and flexible operation to accommodate the expansion of variable renewables.

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 companys 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.

#LI-Onsite


About our Benefits

We know that we have some of the most talented and dedicated employees, and we believe in rewarding them accordingly. If you work here, full-time employees (excludes interns) expect to have access to the benefits below:

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

Kairos Power is committed to building a diverse workforce that reflects the communities where we do business. Kairos Power is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We actively welcome people of different experiences, abilities, and perspectives.

Kairos Power participates in E-Verify.

Candidates only, no recruiters or agencies please.

Note: You are applying for a position that is located in a facility that handles information that is subject to export control restrictions by the Department of Energy under 10 CFR Part 810. To work in this facility, you need to be authorized by the Department of Energy to access Part 810-controlled information. Foreign nationals who are citizens of countries that are not on the Department of Energy’s general authorization list (link below) are not permitted to work in our facility unless the Department of Energy issues an export control license to the company to permit that individual to have access to Part 810-controlled information. The following questions are intended to determine the licensing requirements that may apply. https://www.law.cornell.edu/cfr/text/10/appendix-A_to_part_810

Top Skills

C++
Python
The Company
HQ: Alameda, CA
273 Employees
On-site Workplace
Year Founded: 2016

What We Do

Kairos Power has a mission to enable the world’s transition to clean energy, with the ultimate goal of dramatically improving people’s quality of life while protecting the environment.

We are an engineering company focused on the delivery of a clean, affordable and safe energy solution through the integrated design, licensing and demonstration of advanced reactor technology.

Growing from a broad research effort at U.S. universities and national laboratories, Kairos Power was founded to accelerate the development of an innovative nuclear technology that has the potential to transform the energy landscape in the United States and internationally.

Kairos Power is focused on reducing technical risk through a novel approach to test iteration often lacking in the nuclear space. Our schedule is driven by the goal of a U.S. demonstration plant before 2030 and a rapid deployment thereafter.

The challenge is great, but so too is the opportunity.

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