Autonomous Systems Engineer
7 days ago
About Auric AI Labs
We are a well-funded startup committed to delivering next-generation AI-powered tactical autonomous strike systems. Our goal is to provide a strategic technological advantage through innovative solutions that transform the future of defense technology.
Our team is working on developing a sophisticated vision-based Automatic Target Recognition (ATR) system. This system will be integrated into high-speed, long-range tactical drones to enable autonomous target identification, prioritization, and engagement based on user-defined parameters.
Job Summary
- Develop real-time computer vision algorithms for object detection, recognition, and prioritization.
- Train machine learning models using diverse imagery datasets to enhance detection accuracy and reliability.
- Optimize algorithms for real-time processing on edge devices with stringent performance requirements.
Essential Skills
- Deep understanding of computer vision and machine learning concepts.
- Experience with object detection algorithms such as YOLO, SSD, Faster R-CNN, or similar.
- Proficiency in deploying models on embedded systems like NVIDIA Jetson or Raspberry Pi.
- Demonstrated expertise through work experience, internships, or personal projects.
- Ability to apply first-principles thinking to complex problems.
What We Offer
Opportunity to work on cutting-edge AI and defense technologies with a real-world impact. Collaborate with a talented team tackling challenging problems to shape the future of autonomous tactical systems.
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