The company is looking to develop a small, autonomous gun turret that employs advanced computer vision and control systems to precisely target and neutralize small drones and loitering munitions.
Requirements
- Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
- Experience with embedded systems and integrating computer vision algorithms into hardware.
- Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems.
- 4-7 years of experience working on machine-learning-based computer vision, ideally in the context of robotics.
- A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications.
Responsibilities
- Development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification.
- Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability.
- Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture.
- Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.
- Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges.
Other
- Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.
- At least a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
- You enjoy collaborating with other engineers to solve complex technical challenges.
- Competitive salary
- ACS Equity Package
- Health, Dental, Vision Insurance
- Paid Time Off
