
CSI-Cancer: USC Michelson Center Convergent Science Institute in Cancer
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(#4807506007) Software Engineer Intern at Anduril Industries
Job description
We are seeking Software Engineering Interns for Summer 2026! This is a paid, in-person, 12 week internship. We have openings based out of: Costa Mesa, CA; Irvine, CA; Atlanta, GA; Seattle, WA; Boston, MA; Reston, VA.
WHAT YOU’LL DO
- Support the software solutions that are deployed to customers and key stakeholders.
- Write code to improve products and scale the mission capability to more customers.
- Collaborate across multiple teams to plan, build, and test complex functionality.
- Create and analyze metrics that are leveraged for debugging and monitoring.
- Triage issues, root cause failures, and coordinate next-steps.
- Work on real, meaningful projects and learn from experienced professionals along the way.
REQUIRED QUALIFICATIONS
- Must be pursuing a Bachelor’s or Master's degree in Computer Science, Computer/Software Engineering, Mathematics, Physics, or any related field.
- Must be a rising senior at the time of their internship and returning to school at the end of their internship to continue their academic studies for at least one quarter/semester.
- Familiarity with algorithms, data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools.
- Proficiency in a variety of programming languages such as C++, Go, Rust, Java, and Python.
- A desire to work on software and applications that have real-world impact.
- U.S. Person status is required as this position needs to access export controlled data.
PREFERRED QUALIFICATIONS
- Have a bias for action. If you see a problem, you want to solve and fix it.
- Be naturally curious about the technologies and tools you use.
- Low-ego, high ownership, and mission oriented.
About the company
Job Location
Los Angeles, CA
Company Size
200+
Our Story
USC Michelson Center CSI-Cancer is aimed at integrating patient, model system, and high-content single cell data to translate clinically observed correlations into a mechanistic understanding of the physical and biological underpinnings of cancer dynamics. The organizing framework of the physical dynamics of cancer at the lab will focus on the spatial distributions and temporal evolution of the disease at the cellular, human, and population scale.
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