Computer Vision Engineer, Senior

Austin, United StatesOn-site

Requirements

Our first product, EDDA, is an autonomous counter-sUAS point-defense platform designed to detect, track, and neutralize Group 1 drone threats.
Essential Duties - Architect and Implement: Develop the entire embedded CV pipeline using high-performance Python and C++.
Requirements - Programming: Strong background in C++ (for performance) or Python. - SLAM/Localization: Deep expertise in VIO, VO, and SLAM frameworks for real-time state estimation. - Libraries: Proficiency in OpenCV and image-processing modules in PyTorch or TensorFlow. - Deployment:
Experience with DNN inference libraries (e.g., TensorRT, TFLite, and others) for edge deployment. - Architecture: Hands-on
experience building embedded CV systems for real-time applications involving small, fast objects. - Geometric Vision: Deep understanding of camera calibration and 3D geometry. - Compliance: US Citizenship and the ability to pass a background check Preferred
- The Builder's Playground: Work in a brand-new lab fully optimized for rapid prototyping, equipped with NVIDIA Jetsons, high-end scopes, and 3-D printers.

Position Summary We are seeking a Senior Computer Vision Engineer to serve as the “eyes” of our autonomous c-sUAS platforms.
- Geometric Vision: Apply principles of calibration, rectification, and 3D geometry to translate 2D footage into accurate 3D coordinates for fire control.
Benefits - Meaningful Early Equity: You aren't just an employee; you are a foundational owner.
- 100% Employer-Paid Premiums: We cover 100% of your medical, dental, and vision insurance premiums and cover 50% of healthcare premiums for your dependents.
- Unlimited PTO: We value results, not clock-watching.
Paid take-home consulting agreement ($500, ~4-8 hours) 4. Review work 5.

You will design, implement, and optimize the entire perception pipeline, specializing in low-latency, high-frame-rate processing to track small, fast objects with zero margin for error.
You should be comfortable building models and systems from the ground up, moving beyond simply utilizing existing frameworks.
- Target Tracking & Sensor Fusion: Design and deploy robust multi-object tracking and sensor fusion algorithms to ensure high-fidelity state estimation of fast-moving targets.
- Object Detection: Utilize real-time models (e.g., YOLO) and CNNs optimized for speed.
- Embedded Optimization: Optimize code for low-latency performance on resource-constrained NVIDIA Jetson environments using libraries like TensorRT and TFLite.
- Cross-Functional Collaboration: Work with robotics teams to ensure perception data is reliable for autonomous decision-making.
Your contributions directly drive the value of your stake in the company. - Direct Roadmap Influence: Forget the bureaucracy of big defense.
You will have a seat at the table, directly shaping our product and technology trajectory from day one.
- Mission-Critical Work: We don't build for "what if." We build systems the Department of War actively needs to counter immediate, real-world threats.
Take the time you need to stay sharp and recharge. - Zero Red Tape: You report to the founders.