Software Engineer, Internship - Sovereign AI Systems

The Role

As a Software Engineer Intern on Sovereign AI Infrastructure, you will help build the systems that make AI agents useful, reliable, and governable in high-stakes operational environments.

This is not a research-only internship. You’ll own a project with hands-on mentorship from experienced engineers, contributing to the systems that make production AI useful and trustworthy. That may mean working directly on agentic workflows, or on the layers they depend on: customer ontologies, context assembly, tool interfaces, agent identity or permissions, evaluations, and the core workflows that turn model outputs into real operational decisions.

We are looking for interns with strong coding fundamentals and experience with AI systems. You should be excited to learn quickly, communicate clearly, and build systems where correctness, reliability, and customer trust matter.

Core Responsibilities (may include)

• Build production software that improves how Palantir deploys, operates, evaluates, or monitors AI systems in customer-controlled environments.
• Contribute to infrastructure for agentic workflows, including tool use, context assembly, permissions, execution safety, observability, and debugging.
• Design and implement services, APIs, test harnesses, evaluation pipelines, or developer tools that make AI systems easier to operate.
• Work with engineers, product teams, and customer-facing teams to understand real operational problems and turn them into durable software.
• Debug issues across services, deployment systems, logs, configuration, permissions, and product behavior.
• Write clear, maintainable code and participate in code review with a high bar for quality.
• Communicate your design decisions, tradeoffs, and results clearly to teammates.

What We Value

• Strong coding fundamentals and the ability to learn new languages and systems quickly.
• Curiosity about how AI systems work in production, especially agentic systems that use tools, retrieve context, and interact with real workflows.
• Clear written and verbal communication.
• Grit & Ownership mindset: you care about getting the details right and seeing your work through.
• Ability to collaborate with people across engineering, product, and customer-facing teams.
• Active US Security clearance, or eligibility and willingness to obtain a US Security clearance, is beneficial but not required.

What We Require

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Mathematics, Software Engineering, Physics, or a similar technical field.
• Demonstrated interest in AI systems, agentic applications.
• Experience coding in programming languages such as Java, Python, C++, Go, Rust, JavaScript, or similar.
• Familiarity with data structures, algorithms, systems programming, backend services, cloud infrastructure, or distributed systems.
• Strong written and verbal communication skills.
• Ability to work full-time for the duration of the internship.

To apply, please submit the following:

• An updated resume / CV - please do so in PDF format.
• Thoughtful responses to our application questions.

Salary

The estimated salary range for this position is estimated to be $10,500/month. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any benefits offered; and the potential future value of any long-term incentives.

Life at Palantir

In keeping consistent with Palantir’s values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity.

Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the posting is specified as Onsite, you are required to work from an office.