Employer listing
Year at Palantir - Software Engineer, Internship
Palantir
New York, Ny · on site · internship · Intern
Salary not specified
The Role
Build software and deliver customer outcomes. You'll work on real problems: helping customers deploy AI-powered solutions, building the software platforms of the future, and transforming how organizations operate. You'll be held to the same performance standards as any Palantir engineer, and your career progression will be based purely on merit and impact.
Core Responsibilities
You have two internship role options:
Forward Deployed Software Engineer (FDSE)
- Work side by side with customers to understand challenges and build solutions leveraging business-critical data and AI.
- Own the end-to-end execution and implementation of high-stakes projects within small, agile teams.
- Directly influence critical industries and institutions, addressing problems such as supply chain adaptation and wildfire risk mitigation.
Software Engineer
- Build software at scale across products such as Palantir Gotham, Palantir Foundry, or Palantir Apollo.
- Create features used by research scientists, aerospace engineers, intelligence analysts, and economic forecasters.
- Collaborate in small teams focused on specific product areas, such as front-end applications or release infrastructure.
What We Value
- Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools.
- For USG: An active U.S. security clearance, or eligibility and willingness to obtain one, is required.
- For all other roles: An active U.S. security clearance, or eligibility and willingness to obtain one, is a plus but not required.
- Note: Open to college freshmen, sophomores, juniors, and seniors.
What We Require
- Pursuing or received a degree in Engineering, preferably in Computer Science, Mathematics, Software Engineering, Physics, or Data Science.
- Proficiency with one or more programming languages, such as Python, Java, C++, TypeScript/JavaScript, or similar.
- Hands-on experience applying AI (through coursework, personal projects, internships, or relevant extracurricular activities).