Edge AI Systems Engineer for Tactical LLMs & Drones

Palantir Technologies

Seattle (WA)

Hybrid

USD 145,000 - 200,000

Full time

14 days+
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Benefits offered by this job

Medical insurance
Relocation assistance
Paid time off

Job summary

Palantir Technologies seeks an experienced Software Engineer to join a new team building and deploying advanced AI systems for tactical edge use. The role focuses on training, evaluating, and deploying LLM agents on edge hardware to interface with sensors, effectors, and drone systems for defense applications.

You will design scalable, robust multi-agent solutions, optimize performance on edge platforms, and ensure reliability in high-stakes environments while navigating security requirements.

Qualifications

  • 5+ years of professional software development experience.
  • 2+ years contributing to system design/architecture of new and existing systems.
  • Experience building and deploying LLMs and LLM agents using PyTorch, HuggingFace Transformers, LangChain, and vLLM.
  • Active US Security clearance or eligibility and willingness to obtain a US Security clearance.

Responsibilities

  • Train and fine-tune edge-capable LLMs for tactical defense applications.
  • Optimize model performance for edge hardware platforms (GPU, CPU, and specialized accelerators).
  • Design and implement multi-agent systems for various mission scenarios.
  • Interface LLM agents with sensors, effectors, and drone systems.
  • Benchmark and evaluate agent capabilities, performance, and reliability.
  • Engineer scalable, reliable, and fail-safe systems capable of functioning in high-stakes environments.

Skills

Rust
Python
C++
LLM/AI experience
Edge computing

Education

Bachelor's/Master's/PhD in CS/Physics/Math or related fields

Tools

PyTorch
HuggingFace Transformers
LangChain
vLLM
Ollama
Mojo
TVM
TF Lite

Job description

Palantir Technologies seeks an experienced Software Engineer to join a new team building and deploying advanced AI systems for tactical edge use. The role focuses on training, evaluating, and deploying LLM agents on edge hardware to interface with sensors, effectors, and drone systems for defense applications.

You will design scalable, robust multi-agent solutions, optimize performance on edge platforms, and ensure reliability in high-stakes environments while navigating security requirements.

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