About the job
We are seeking an experienced Software Engineer to join a newly-formed team focused on developing and deploying advanced AI systems to the tactical edge. This role involves training, evaluating, and deploying LLM agents to edge hardware for interfacing with sensors, effectors, and drone systems. This project is in support of multiple customers in the defense sector that are looking for untethered AI solutions that can be rapidly deployed downrange on hardware with limited capabilities.
As a part of this team, you will build and deploy specialized models and agents that can run on tactical edge hardware, working alongside other experts in AI, LLMs, and systems to shape solutions that redefine complex tactical defense scenarios.
Responsibilities
Train and fine-tune edge-capable LLMs for tactical defense applications
Optimize model performance for various edge hardware (GPU, CPU, and specialized accelerator) platforms
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
Qualifications
Minimum
5+ years of professional software development experience
2+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and existing systems
Experience building and deploying LLMs and LLM agents using modern frameworks such as PyTorch, HuggingFace Transformers, LangChain, and vLLM
Strong proficiency in Rust, Python, or C++
Bachelor's/Master's/PhD in Computer Science, Physics, Mathematics, or related fields
Active US Security clearance or eligibility and willingness to obtain a US Security clearance
Preferred
Experience working in the defense sector, especially with weapon and UxV systems, is highly desirable