Senior Machine Learning Engineer (Edge AI)

Company Description

At embedUR systems, we accelerate Edge AI development by delivering high-performance AI for resource-constrained devices. We offer full-stack Edge AI services, including model optimization, firmware integration, hardware bring-up, and platform tuning, enabling rapid deployment of intelligent devices. To further this, we provide ModelNova—a library of 100+ pre-trained, production-ready Edge AI models optimized for small chips. With deep roots in embedded software, networking, and telecom, and a reputation for reliability, we support both startups and Fortune 500 companies. Headquartered in Silicon Valley, our global team of engineers is dedicated to expert execution in challenging scenarios.

Role Description

This is a full-time, on-site role for a Senior Machine Learning Engineer (Edge AI) located in the Greater Chennai Area. The Senior Machine Learning Engineer will be responsible for developing and optimizing machine learning models, integrating AI models with firmware and hardware, and collaborating with cross-functional teams to bring Edge AI solutions from concept to production. The role involves deploying and tuning models on resource-constrained devices, conducting extensive testing, and ensuring robust performance across various Edge AI applications.

Qualifications

• Proficiency in Pattern Recognition, Neural Networks, and Statistics
• Strong foundation in Computer Science and Algorithms
• Experience with model optimization and deploying AI on resource-constrained devices
• Excellent programming skills in Python, C++, or similar languages
• Ability to work collaboratively in cross-functional teams
• Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field