The Video Perception (VIPer) team develops perception systems for L2+ Advanced Driver Assistance Systems (ADAS). As an Applied Computer Vision Engineer, you will be involved in the full development lifecycle of the perception stack. You will work on real-world problems by analyzing large datasets, experimenting with Deep Learning models like Convolutional Neural Networks (CNNs) and Transformers, and contributing to production-ready software.

Responsibilities:

• Develop, train, and validate deep learning models for perception tasks such as object detection, semantic segmentation, and lane detection.

• Contribute to the design and implementation of experiments, performing rigorous analysis of model performance and identifying failure modes.

• Analyze large-scale, unstructured video data to derive insights and assist in curating high-quality datasets for model training.

• Collaborate with the team to build and maintain robust MLOps pipelines for data processing, training, and deployment.

• Implement and optimize algorithms in Python, ensuring they meet the performance requirements for real-time embedded systems.

• Document and present experimental results, architectural choices, and technical findings to the team and stakeholders.

Required Qualifications:

• Education: Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.

• Experience: 2-3 years of professional experience in computer vision or machine learning application development.

• Programming: Proficiency in Python and a strong understanding of object-oriented programming.

• Deep Learning Frameworks: Strong hands-on experience with modern DL frameworks such as Py Torch or Tensor Flow 2+.

• Core Concepts: Solid understanding of deep learning fundamentals, including CNNs, object detection, and segmentation. A keen interest in learning and applying Transformers for vision is essential.

• Tools: Familiarity with essential software development tools like Git, Docker, and working in a Linux environment.

Education: Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.

• Experience: 2-3 years of professional experience in computer vision or machine learning application development.

• Master’s degree in a relevant field.

• Prior experience in the ADAS, autonomous driving, or robotics domains.

• Experience with model optimization and deployment (e.g., TensorRT, ONNX).

• Familiarity with cloud platforms (AWS/Azure) and data processing tools (e.g., Spark).

• Exposure to Large Language Models (LLMs) and agentic AI concepts.

• While not required, hands-on experience with C++ is beneficial.

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.