3 months ago
Base Salary
$135k - $145k/yr
Responsibilities
- Collaborate with engineers on architecture and design decisions
- Work with data at large scale and solve technical problems involving data structures, storage systems, cloud infrastructure, and front-end frameworks
- Build custom applications, LLM workflows, and production solutions for specific customers
- Own projects end-to-end from initial customer conversation through product delivery
- Manage relationships with stakeholders ranging from frontline users to executives
- Deploy software and AI into high-stakes operations
Requirements
- An engineering degree, preferably in Computer Science, Electrical and Computer Engineering, Mathematics, Software Engineering, Physics, or Data Science
- Proficiency in one or more programming languages such as Python, Java, C++, TypeScript, JavaScript, or similar
- Graduation in December 2026 or Spring 2027
- Willingness to embed with customers and travel 25–50%, depending on team and location
Benefits
- Medical, dental, vision, voluntary life, basic life, AD&D, and disability insurance
- Commuter benefits and relocation assistance
- Flexible paid time off, year-end paid time off, and 10 paid holidays
- Supportive leave programs, including military and medical leave
- Paid parental leave, subsidized backup care, fertility and family-building benefits, and a new-child stipend
- 401(k) plan
- Primarily in-person office work, with some teams offering hybrid work one or two days per week
- Expected travel of 25–50%, depending on team and location
Tech Stack
Categories
Forward Deployed
About Palantir
Palantir builds data-integration and AI-driven analytics platforms used by governments and large enterprises to run operations and make decisions. Its core products, including Gotham and Foundry (with Apollo for deployment), are sold via software subscriptions and implementation services. Founded in 2003 and headquartered in Miami, it is NYSE-listed and deployed across defense, intelligence, healthcare, and industrial sectors.
