Desay SV, one of the leading mobility technology companies, is committed to be the preferred partner in mobility transformation. Desay SV’s core business focuses on the efficient integration of the three major areas of smart cabin, smart drive, and smart service. We continue to develop highly integrated leading hardware and software algorithms to provide global customers with safe, comfortable, and efficient mobility solutions and services.

Project Background:

With the increasing demand for AI-driven solutions, our company is at the forefront of developing state-of-the-art computer vision technologies. We focus on research areas such as deep learning, 3D vision, and perception algorithms to drive advancements in autonomous systems and intelligent applications. Our research team collaborates with academic institutions and industry partners to push the boundaries of what is possible in AI and computer vision. This internship provides an opportunity to contribute to impactful projects that shape the future of intelligent vision systems.

Job Scope:

Our perception and fusion team consists of experienced researchers, engineers, and data scientists working on cutting-edge AI models and deployment strategies. The team is responsible for designing and implementing deep learning-based perception systems, optimizing computational efficiency, and integrating AI solutions into real-world applications. We work in a highly collaborative environment, fostering knowledge sharing and innovation to solve complex vision challenges. Interns will have the opportunity to work alongside experts, contribute to ongoing projects, and gain practical experience in both research and engineering aspects of AI-driven perception systems.

1. Conduct research and development in computer vision, deep learning, and AI-driven perception systems. Implement, train, and evaluate deep learning models for tasks such as depth estimation, object detection, semantic segmentation, and more.
2. Optimize neural network architectures for efficiency and deployment on embedded or edge devices.
3. Process and annotate datasets, ensuring high-quality data preparation for training and validation.
4. Develop and maintain codebases for experiments, ensuring reproducibility and scalability.
5. Stay updated with the latest research in the field and propose innovative solutions to improve existing methods. Collaborate with team members to integrate models into real-world applications.
6. Document research findings and present results through reports and presentations.

Requirements:

• Experience with monocular depth estimation, 3D vision, or multi-view geometry.
• Hands-on experience with hardware acceleration, such as CUDA, TensorRT, or FPGA-based inference.
• Prior research experience with publications in top-tier conferences (CVPR, ICCV, NeurIPS, etc.).
• Familiar with MLOps, model deployment, or cloud-based AI solutions.