Senior Software Engineer, Edge AI Systems
- Salary
- $145K–$275K
- Hiring from
- United States
- Work type
- Hybrid
- Posted
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About the Role
Join a newly formed team building and deploying AI systems for use on tactical edge hardware. You will develop specialized models and agents that work with sensors, effectors, and drone systems, helping deliver reliable AI capabilities in demanding defense environments.
What You'll Do
Train and fine-tune language models for applications that must operate on limited-capability edge hardware.
Optimize model performance across GPU, CPU, and specialized accelerator platforms.
Design and implement multi-agent systems for mission scenarios.
Connect AI agents with sensors, effectors, and uncrewed vehicle systems.
Benchmark agent capabilities, performance, and reliability.
Build scalable, secure, reliable, and fail-safe systems for high-stakes environments.
Work across technical and customer-facing teams to shape and deliver solutions.
What We're Looking For
Four or more years of software engineering experience, including experience contributing to system design or architecture.
Hands-on experience building and optimizing production LLM or AI-agent systems, including model fine-tuning, agent optimization, or inference optimization.
Strong proficiency in Python, C++, or Rust, and experience with tools such as PyTorch, Hugging Face Transformers, LangChain, and vLLM.
Experience optimizing AI models for edge hardware; familiarity with tools such as Ollama, Mojo, TVM, or TensorFlow Lite is useful.
A bachelor's degree or higher in computer science or a quantitative field such as physics or mathematics.
Experience developing technically demanding, mission-critical software, ideally in defense, aerospace, robotics, applied research, or large-scale technology environments.
U.S. citizenship and eligibility for a U.S. security clearance, with willingness to obtain one.
Ability to travel up to 25% of the time.
Compensation & Benefits
Annual salary range: $145,000 to $275,000 USD. Visa sponsorship is not available.
Location
Hybrid work arrangement in Palo Alto, California.