This is a very special opportunity to join a hugely talented team of defense technology experts that are developing a new era of drone warfare to completely change battlefield economics. With a significant amount of funding in place this is a great time to join them on their exciting journey ahead with the opportunity to make a huge impact from day 1.
What you'll do..
- Lead the development and optimization of computer vision algorithms for their autonomous systems, 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 hardware architecture.
- Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.
- Mentor junior engineers and contribute to the overall growth of the machine learning and computer vision expertise within the company.
Required experience:
- You will have a deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.
- You hold at least a Master's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
- A minimum of 6 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.
- 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.
- Familiarity with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems.
- You enjoy mentoring and collaborating with other engineers to solve complex technical challenges.
If you are interested in this position, please apply via LinkedIn now! To apply you must be a US citizen or green card holder.
