Computer Vision Engineer

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.

Role & responsibilities

Preferred candidate profile