Applied Computer Vision Engineer – Automated Driving | Bosch Global Software Technologies, Bangalore

Location: Building 601 & 602, P.B.3000, Adugodi, Hosur Road, Bangalore, India
Employment Type: Full-Time
Department: Video Perception (ViPER) – ADAS
Legal Entity: Bosch Global Software Technologies Private Limited

---

About Bosch Global Software Technologies

Bosch Global Software Technologies Private Limited (BGSW) is a wholly owned subsidiary of Robert Bosch GmbH—one of the world’s foremost providers of technology and services. As Bosch’s largest software development hub outside of Germany, BGSW stands as a testament to the company’s digital transformation leadership, innovation excellence, and global engineering strength. With over 28,200 associates, BGSW drives software innovation in automotive technologies, industrial automation, smart home solutions, and digital enterprise services.

With a presence across the United States, Europe, and the Asia-Pacific region, BGSW is a vital cog in the Bosch ecosystem, delivering scalable, high-quality engineering, IT, and business solutions.

---

Role Overview: Applied Computer Vision Engineer – Automated Driving

Bosch’s ViPER (Video Perception) team, a cornerstone in the Advanced Driver Assistance Systems (ADAS) unit, is pioneering the development of next-generation perception systems for autonomous vehicles. This team is building powerful end-to-end video perception solutions that enhance the safety and intelligence of modern driving experiences.

We are hiring an Applied Computer Vision Engineer with a strong foundation in deep learning, image processing, and data engineering to join the Retrieval Team within ViPER. In this role, you will design and implement high-performance systems that handle vast driving data—powering the training and validation of ADAS models.

If you are passionate about solving real-world challenges in autonomous driving, experienced with machine learning pipelines, and eager to work with production-scale vision systems, this is your opportunity to make a significant impact.

---

Key Responsibilities

1. Data Retrieval and Curation Systems

• Develop efficient data ingestion and retrieval pipelines for large-scale autonomous driving datasets.

• Create intelligent systems to select, index, and retrieve edge-case scenarios, ensuring effective training and validation for ADAS models.

• Work alongside perception and planning teams to build unified data workflows.

• Automate dataset curation using advanced techniques including active learning and semi-automated annotation.

2. Computer Vision & Deep Learning Model Integration

• Apply expertise in computer vision, including object detection, semantic segmentation, depth estimation, and scene understanding.

• Integrate real-time, scalable deep learning models with sensor fusion inputs from camera, radar, and LiDAR.

• Optimize models for real-time deployment using techniques like model pruning, quantization, and parallel processing.

3. Software Engineering & Deployment

• Write high-performance, production-quality code in Python and C++.

• Deploy machine learning workflows using Docker and Kubernetes in cloud environments (Azure/AWS).

• Develop robust services and APIs to serve vision-based insights to downstream ADAS modules.

4. Collaboration & Agile Development

• Work in an Agile, fast-paced environment, contributing to all stages of product development—from research to deployment.

• Collaborate with multidisciplinary teams including data scientists, software engineers, and domain experts.

• Document technical solutions with clarity, contributing to internal knowledge bases and client documentation.

---

Core Skills and Expertise

Computer Vision and Deep Learning (Minimum 3 Years Experience)

• Proficient in object detection, image segmentation, depth estimation, and 3D perception.

• Experience with CNNs, Transformers, Supervised/Self-supervised learning, and Transfer Learning.

• Demonstrated ability to work with real-world autonomous driving datasets and develop robust models for production.

Data Engineering & Visualization

• Skilled in data analysis, preparation, handling, and deriving actionable insights.

• Build visualization tools for dataset health monitoring and training feedback loops.

ML Frameworks & Tools

• Strong hands-on experience with TensorFlow and PyTorch.

• Familiarity with CUDA, OpenMP, and distributed computing systems.

Cloud & DevOps Proficiency

• Expertise in deploying ML systems using cloud platforms such as Microsoft Azure and Amazon Web Services (AWS).

• Efficient use of Docker and Kubernetes for containerization and orchestration.

Software Development Tools

• Proficient with Git, Linux environments, and CI/CD practices.

• Strong coding skills in Python and C++ with attention to performance, scalability, and maintainability.

---

Preferred Qualifications

• Education: Bachelor’s or Master’s degree (B.E/B.Tech/M.E/M.Tech) in Computer Science, Electrical Engineering, or related disciplines.

• Experience: Minimum of 4+ years of relevant industry experience in computer vision and ML-based projects.

• Prior experience in autonomous driving technologies, sensor fusion, or embedded perception systems is a significant advantage.

• Demonstrated contributions to end-to-end ML pipelines, from dataset curation to deployment.

---

What Makes You a Strong Candidate?

• You are technically sound, with a solid grasp of applied ML and computer vision.

• You’ve worked on production-grade vision systems and understand real-world deployment constraints.

• You’re a problem-solver who can adapt ML solutions to changing datasets and use cases.

• You embrace an agile mindset, valuing iteration, speed, and collaborative innovation.

• You’re a strong communicator, able to explain complex solutions and document your work effectively.

---

Why Join Bosch Global Software Technologies?

1. Impactful Innovation

Work on next-generation technologies that directly contribute to road safety, autonomous mobility, and intelligent driving systems.

2. Global Collaboration

Be part of a global network of experts, with opportunities to collaborate with teams across Europe, North America, and Asia-Pacific.

3. Career Growth & Learning

Bosch invests in its talent. Take advantage of structured learning paths, certifications, mentorship, and access to cutting-edge R&D projects.

4. Culture of Excellence

Enjoy a dynamic work culture that encourages curiosity, ownership, and continuous improvement. Bosch fosters diversity, equity, and work-life balance.

Your Future with Bosch Begins Here

This is more than just a job—it’s an opportunity to shape the future of mobility. As an Applied Computer Vision Engineer at Bosch, you’ll be at the forefront of technology that is transforming how vehicles perceive and interact with the world.

If you’re passionate about machine learning, computer vision, and driving automation technology forward, we invite you to apply now and be part of Bosch’s innovation journey.