Computer Vision Engineer at Nayan India Science and technologies

We are Nayan, and we are looking for a dedicated Lead Computer Vision Engineer to join our team in India. We focus on solving difficult technical problems to create products that make a genuine difference in people's lives. Our work involves managing massive datasets containing billions of images and videos to build large-scale machine learning systems. We value engineers who are finishers, capable of writing robust, production-quality code that delights our customers. If you are a creative professional who thrives in a fast-paced environment and enjoys demonstrating software applications that stand out, we want to hear from you.

Key outcomes

• Research, develop, and evaluate innovative computer vision algorithms.
• Build accurate, scalable computer vision systems using our extensive datasets.
• Guide projects from the initial prototyping phase through to final production.
• Partner with our software engineering teams to ensure real-time implementations on Java and Linux platforms.
• Monitor engineering progress and deliver clear, detailed reports to management.
• Design and maintain perception software specifically for vehicle integration.
• Optimize systems for inference time and perform complex tasks like multi-object tracking and sensor fusion.

Requirements

• Expertise in Computer Vision, Machine Learning, and Deep Learning.
• Strong proficiency in Linux, Java, and Android development.
• Deep understanding of algorithms and their practical application.
• Proven ability to work with raw sensor data and perform sensor calibration.
• Excellent communication skills in English.
• Experience with agile methodologies, including daily standups, backlog grooming, and retrospectives.
• A commitment to maintaining high-quality code architecture and rigorous version control.

How to apply

If you are ready to take on a challenging role where you can lead impactful projects, please submit your application to our team. We look forward to reviewing your experience and discussing how your background aligns with our mission.