
Computer Vision Engineer
2 days ago
Job Summary:
We're seeking a skilled Computer Vision Engineer to develop and deploy AI-powered computer vision models using Convolutional Neural Networks (CNNs) and unsupervised learning techniques. The ideal candidate will have expertise in designing and training camera-based AI models for various applications.
Roles & Responsibilities
- Spearhead the development of high-performance, real-time computer vision algorithms for autonomous gun turret platforms, with emphasis on aerial threat detection, multi-object tracking, and dynamic classification of drones.
- Architect and fine-tune deep learning models optimized for deployment on edge computing platforms with stringent resource constraints, ensuring minimal latency and maximal inference accuracy.
- Collaborate cross-functionally with electrical and embedded systems engineers to seamlessly integrate vision modules into custom hardware architectures, including FPGA and SoC-based systems.
- Design and execute rigorous validation protocols using synthetic and real-world datasets to benchmark algorithmic performance under diverse environmental and operational conditions.
- Provide technical leadership and mentorship to junior engineers, fostering domain expertise in AI-driven perception systems and scalable machine learning pipelines.
- Drive the maturation of prototype vision systems into production-ready, defense-grade solutions, supporting modular adaptations for varied weapon platforms, engagement distances, and mission profiles.
- Design, develop, and deploy computer vision models using CNNs and unsupervised learning techniques.
- Work with camera-based datasets to train and fine-tune models for specific applications.
- Implement and optimize algorithms for object detection, tracking, and classification.
Technical Competency:
Programming Languages - Python, C++,
ML Frameworks - TensorFlow, PyTorch
Embedded Systems - Integration & optimization
Sensor Technologies - Cameras, LIDAR, RADAR
Real-Time Systems - Algorithm deployment & tuning
Hardware Integration - Embedded vision systems
Skillsets:
- Strong analytical and problem-solving abilities in computer vision and robotics.
- Excellent communication and collaboration skills for cross-functional teamwork.
- Leadership and mentoring capabilities to guide junior engineers.
- Ability to work in high-stakes, mission-critical environments with attention to detail.
- Knowledge of computer vision libraries (e.g., OpenCV, YOLO).
Functional Expertise:
- Machine Learning & Computer Vision: End-to-end development and deployment of ML-based vision systems.
- Robotics: Experience with autonomous systems and sensor fusion.
- System Integration: Hardware-software co-design and embedded deployment.
- Defense Applications: Understanding of military-grade system requirements and operational constraints.
What We Offer:
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- Collaborative and dynamic work environment.
- Working on National Security Projects.
If you're passionate about computer vision and AI, we'd love to hear from youRole & responsibilities
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