5 months ago
Base Salary
$150k - $250k/yr
Responsibilities
- Architect and implement the complete embedded computer vision pipeline using high-performance Python and C++.
- Design and deploy multi-object tracking and sensor fusion algorithms for high-fidelity state estimation of fast-moving targets.
- Develop and optimize real-time object detection models, including YOLO and CNNs.
- Optimize low-latency computer vision code for resource-constrained NVIDIA Jetson environments using TensorRT and TFLite.
- Apply camera calibration, rectification, and 3D geometry to convert 2D footage into accurate 3D coordinates for fire control.
- Collaborate with robotics teams to ensure perception data supports reliable autonomous decision-making.
Requirements
- Strong C++ or Python programming experience, with C++ used for performance-sensitive work.
- Deep expertise in VIO, VO, and SLAM frameworks for real-time state estimation.
- Proficiency with OpenCV and image-processing modules in PyTorch or TensorFlow.
- Experience with DNN inference libraries such as TensorRT and TFLite for edge deployment.
- Hands-on experience building embedded computer vision systems for real-time applications involving small, fast objects.
- Deep understanding of camera calibration and 3D geometry.
- U.S. citizenship and ability to pass a background check.
- Prior defense startup experience is preferred.
- Security clearance or ability to obtain one is preferred.
- Experience or interest in building robots or engineering projects as a hobby is preferred.
Benefits
- Direct-hire, full-time employment
- Onsite work in Austin, Texas
- Meaningful early equity
- 100% employer-paid medical, dental, and vision premiums
- 50% of healthcare premiums covered for dependents
- Unlimited paid time off
- Relocation assistance
- Access to a prototyping lab equipped with NVIDIA Jetsons, high-end scopes, and 3-D printers
Categories
About 9 Mothers
9 Mothers builds AI-enabled counter-unmanned aerial systems for defense and security operators. Its first product, EDDA, is an autonomous point-defense platform that detects, tracks, and neutralizes Group 1 small drone threats. Founded in 2024 and headquartered in Austin, Texas, the privately held company develops hardware and software for military units, law enforcement, and critical infrastructure protection.