Edge AI Vision Engineer for DoD Perception Systems

AItoolnavio; Sunnyvale (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Applied Intuition Defense seeks a Computer Vision Engineer to advance perception models across maritime, land, air-to-surface, and surface-to-surface domains. You will develop detectors, labelers, and inference tools, deploying to edge hardware and collaborating with cross-disciplinary teams.

You will optimize models for real-time performance and contribute to end-to-end ML tooling, data generation, and model deployment strategies, using frontier AI techniques.

Qualifications

• MS or PhD in Computer Engineering, Robotic Engineering, Computer Science, or equivalent.
• 5+ years of experience in industry with computer vision capabilities.
• Proficiency in training ML models in PyTorch on multi-machine, multi-GPU systems.
• Experience in optimizing and deploying ML models to edge devices.
• Strong experience with agentic coding with Python and/or C++.
• Experience leveraging AI-powered development tools (e.g., GitHub Copilot, Cursor).
• Adeptness with remote software development and handling large datasets.

Responsibilities

• Develop perception models that find and classify targets with an error rate <1/100.
• Deploy models to Jetson Orin+ boards and optimize for real-time performance.
• Build large foundation models for high-accuracy data labeling.
• Build tooling across the perception stack: labeling tools, simulation.
• Collaborate with Applied Intuition Defense engineers across teams.
• Scale datasets using simulation, diffusion, and generative AI.
• Create and maintain optimized models and inference software for high FPS on Jetson hardware.

Skills

PyTorch

Python

C++

Multi-machine GPUs

Transformers

Edge deployment

Education

MS or PhD in Computer Engineering, Robotic Engineering, Computer Science

Tools

GitHub Copilot

Cursor

Unreal Engine

NVIDIA Jetson

Job description

Applied Intuition Defense seeks a Computer Vision Engineer to advance perception models across maritime, land, air-to-surface, and surface-to-surface domains. You will develop detectors, labelers, and inference tools, deploying to edge hardware and collaborating with cross-disciplinary teams.

You will optimize models for real-time performance and contribute to end-to-end ML tooling, data generation, and model deployment strategies, using frontier AI techniques.