Mission-Driven FDSE: Build Impactful Public Sector Tech

Logoslabs; San Francisco (CA); Hybrid; USD 135,000 - 200,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Basic life, AD&D and disability insur.

Commuter benefits

Paid time off - 2 weeks yearly

Job summary

Palantir is seeking Forward Deployed Software Engineers (FDSEs) to understand customers’ pain points and design end-to-end software solutions. You will drive projects from high-level design to data integration, leveraging Palantir products, open source tech, and team expertise to deliver impactful results.

As an FDSE, you will work with customers around the globe, balance regulatory considerations, and adapt to diverse data environments.

Qualifications

• Must hold active US security clearance or be eligible and willing to obtain one.
• Strong engineering background in CS, Math, Software Eng, or Physics.
• Experience with large-scale data systems and software engineering.
• Ability to collaborate with both technical and non-technical teammates.

Responsibilities

• Design end-to-end solutions addressing customers’ pain points.
• Lead development from system design and prototyping to implementation and data integration.
• Iterate rapidly with customer and team feedback to improve solutions.
• Work with Palantir products, open source tech, and teammates to deliver real impact.

Skills

Security clearance

Engineering background

Python

Java

TypeScript/JavaScript

C++

Team collaboration

Education

CS/Math/Software Eng/Physics background

Tools

Postgres

Cassandra

Hadoop

Spark

Java

Groovy

AWS

Job description

Palantir is seeking Forward Deployed Software Engineers (FDSEs) to understand customers’ pain points and design end-to-end software solutions. You will drive projects from high-level design to data integration, leveraging Palantir products, open source tech, and team expertise to deliver impactful results.

As an FDSE, you will work with customers around the globe, balance regulatory considerations, and adapt to diverse data environments.