At Palantir (NYSE: PLTR), we're helping the world's most important institutions use their data to solve their most urgent problems$1. .$1
data integration • big data • enterprise software • data analytics • data protection
August 24
🏢 In-office - London
At Palantir (NYSE: PLTR), we're helping the world's most important institutions use their data to solve their most urgent problems$1. .$1
data integration • big data • enterprise software • data analytics • data protection
• Forward Deployed Software Engineers (FDSEs) work directly with customers to quickly understand their greatest problems and design and implement solutions to use data against them. • Projects often start with an open ended question like 'How do we evaluate wildfire risk and optimise a power grid as a result' or 'How do we quickly assess our food supply chain and modify it to deliver life saving assistance on time?'. • You'll work in small teams with minimal supervision and own end-to-end execution of high stakes projects. • Interns take responsibility for real world projects and outcomes that our customers rely on.
• Engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science. • Proficiency with one or more programming languages, such as Python, Java, C++, TypeScript/JavaScript, or similar. • Must be planning on graduating in 2026. This should be your final internship before graduating.
• Willingness and interest to travel as needed to client sites. Ability to travel 25-50% preferred, but requirements vary by team and location. • Ability to continuously learn, work independently, and make decisions with minimal direction. • Ability to collaborate in teams of technical and non-technical individuals, and comfortable working in a constantly evolving environment with dynamic objectives and iteration with users. • An eagerness to creatively solve technical problems with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools. • Interest in working with and using large scale data to solve valuable business problems.
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