Palantir Technologies USA

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  • 1,000 - 50,000 employees

Software Engineer, Internship - Infrastructure - Palo Alto, CA (Start ASAP)

Location details

On-site

  • United States

    United States

    • California

Location

California

Opportunity expired

Opportunity details

  • Opportunity typeInternship, Clerkship or Placement
  • SalaryUSD 10,500 / Month
  • Application open dateApply by 4 Oct 2025
  • Start dateStart date ASAP

Software Engineering Intern at Palantir to build scalable infrastructure improving developer productivity and platform performance.

Your Role

Key responsibilities include:

  • Building shared infrastructure supporting Palantir Foundry, Gotham, and Apollo platforms.
  • Improving developer experience and engineering velocity within Palantir’s Foundations organization.
  • Working on backend, developer, frontend, or storage infrastructure teams focused on scalable, performant, and reliable systems.
  • Participating throughout the product lifecycle from idea generation to rollout.
  • Collaborating with technical and non-technical team members to address developer and customer needs.
  • Being paired with a mentor to support growth and success.

About You

The company is looking for:

  • Engineering background in Computer Science, Mathematics, Software Engineering, Physics, or related fields.
  • Familiarity with data structures, storage systems, cloud infrastructure, and front-end frameworks.
  • Experience coding in languages such as Java, C++, Python, TypeScript, JavaScript, or similar.
  • Passion for improving developer productivity and empathy for user impact.
  • Strong communication and collaboration skills with engineers and non-technical stakeholders.
  • Willingness to learn, make independent decisions, and ask questions when needed.
  • Active US Security clearance or eligibility and willingness to obtain one.
  • Must be planning to graduate in 2027 and this should be the final internship before graduation.

Compensation & Benefits

  • Estimated salary of $10,500 per month, subject to qualifications and experience.
  • Additional benefits and long-term incentives may apply but are not included in the salary estimate.
  • Hybrid work options available with encouragement to work onsite for collaboration and innovation.
  • Commitment to health, well-being, and an inclusive work environment.

Training & Development

  • Opportunity to grow rapidly by working on foundational infrastructure projects.
  • Mentorship from experienced engineers dedicated to intern growth and success.
  • Exposure to diverse technologies and collaboration with peers from varied backgrounds.

Career Progression

  • Palantir promotes individual strengths and interests over traditional career ladders, offering multiple pathways to success.
  • Focus on long-term growth and development tailored to each employee’s skills and goals.

How to Apply

  • Submit an updated resume/CV in PDF format.
  • Provide thoughtful responses to application questions.

This job may close before the stated closing date, you are encouraged to apply as soon as possible.

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Work rights

The opportunity is available to applicants in any of the following categories.

Work right - United States
United States
US CitizenUS Permanent ResidentUS Student Visa

Qualifications & other requirements

You should have or be completing the following to apply for this opportunity.

Degree or Certificate
Qualification level
Qualification level
Bachelor or higher
Study field
Study field (any)
Engineering & Mathematics
  • Mathematics & Statistics
IT & Computer Science
  • Computer Science
  • Software Engineering
Sciences
  • Physics

Hiring criteria

  • Experience requirementNo experience required
  • Working rights
    US Citizen
  • Study fields
    Engineering & Mathematics
  • Degree typesBachelor or higher
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About the employer

logo-palantir technologies-450x450-2024

Palantir Technologies USA

Number of employees

1,000 - 50,000 employees

Industries

Technology

Palantir Technologies USA is a leading data analytics company, specializing in big data integration and analysis to solve complex problems.