We are looking for a Computer Vision Engineer with 3–6 years of experience to build and deploy production-grade Industrial AI systems as part of Hypervise, our flagship AI platform.
This role is focused on engineers who have worked beyond experimental models and understand the challenges of deploying AI systems in real-world industrial environments. You will work on scalable vision systems used across automotive, apparel, pharmaceutical, and other mission-critical manufacturing sectors.
1. Model Development & Deployment
Develop and deploy computer vision models for real-time industrial applications.
Ensure models meet both accuracy benchmarks and production reliability standards.
Optimize inference performance for edge and on-site deployments.
2. Edge & System Integration
Work with edge devices such as Jetson for on-site AI inference.
Integrate models into complete production-ready vision systems.
Handle latency, throughput, and real-time processing constraints.
3. Industrial Environment Debugging
Debug and optimize systems in live industrial environments.
Address real-world constraints such as lighting variability, hardware limitations, and environmental noise.
Collaborate with hardware and deployment teams for system stability.
Education: Bachelor’s degree in Computer Science, Electronics, or related engineering field.
Experience: 3–6 years of hands-on experience building and deploying computer vision systems in real-world environments.
Strong proficiency in Python and OpenCV.
Experience with deep learning frameworks such as PyTorch or TensorFlow.
Hands-on exposure to deploying models on edge devices (Jetson preferred).
Understanding of production reliability, latency optimization, and system performance tuning.
Strong debugging and analytical skills.
Comfortable working in fast-paced industrial environments.
Ownership mindset with attention to deployment quality.
Ability to collaborate across AI, hardware, and deployment teams.
Hypervise is the flagship industrial AI platform of Eternal Robotics, built to transform real-time quality inspection and automation through advanced computer vision and edge AI. Our systems are deployed in automotive plants, apparel factories, pharmaceutical lines, and other mission-critical environments.
Build AI systems that move beyond POCs into full-scale deployments.
Work on real-world industrial challenges impacting quality and automation.
Be part of a fast-growing Industrial AI company.
