Computer Vision Engineer, Mobility Aftermarket Technology, Engineering Full-time

Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Whether in areas of Automated Driving, Electric & Connected Mobility, IoT or Connectivity, our ideas make driving safer and more comfortable than ever before. This is only possible with the help of our colleagues from Bosch Engineering Center – with offices in Cluj and Bucharest – specialized in software, hardware & mechanics and reliability engineering. We work closely together with other international mobility development teams and with the local Bosch Cluj Plant in order to offer unique products and AIoT solutions to our clients from around the world.

So, are you ready to shape the future of the mobility together with us? Let us tell you more. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

Job Description

We are currently looking for a Computer Vision Engineer for Mobility Aftermarket technology development to work within our team.

We are a team of engineers that harness the power of artificial intelligence, video-based perception and deep learning to create industry leading automated driving and mobility aftermarket technology. We develop state-of-the-art 3D computer vision algorithms, art neural networks based on video sensors with the focus on scene perception and understanding in & out of the car, transforming the camera-based 3D perception technologies into valuable tools & intelligent productsfor the overall automotive field.

In your role you will:

• Develop computer vision-based algorithms for mobility aftermarket technology (e.g. precise sensors calibration in auto workshops);
• Design, develop and optimize algorithms and software for single and for multi-camera video systems using a variety of state-of-the art methods (deep learning, structure from motion, optical flow, 3D reconstruction, clustering, segmentation, objects tracking, visual odometry, numerical optimization techniques, projective geometry, etc.);
• Create, adapt and train deep learning models that detect / classify / segment entities of interest;
• Be responsible for optimizing and deploying trained deep learning models and 3D perception algorithms to dedicated hardware devices;
• Evaluate and validate the performance of the models based on ground truth and reference sensors data, and experiment ways to improve on scenarios with undesired behavior;
• Evaluate and tune the algorithmic performance on large datasets for reaching release-ready systems performance;

Technology Stack:

• Python, (embedded) C/C++
• 3D
• Tensorflow, Keras, Pytorch
• Parallel computing frameworks (NEON, DSPs, OpenCL, CUDA, …)
• Linux
• GIT, Jira, Bitbucket, Docker
• Jenkins, CMake or equivalents

Qualifications

• You have working or academic experience in the computer vision field.
• You have a university degree in computer science, automation, electronics and telecommunications, informatics, mathematics or comparable;
• You have a thorough understanding of computer vision / deep learning / machine learning (i.e., building blocks, mathematics, and intuition behind), algorithms, data structures and software design.
• You have experience with Python, object oriented programming or with deep learning training frameworks (TensorFlow, PyTorch, etc.);
• You enjoy working on both research & development related activities;
• You are motivated and committed to get involved, learn and contribute to the development of cutting-edge technologies in collaboration with a global network of experts;
• You have good communication, strong analytical skills, you are team oriented, have initiative, perseverance, and attention to details;
• You are self-organized and able to estimate, prioritize and schedule own tasks
• You are result and quality oriented;

Additional Information

Hybrid working is the new way of working! We offer super nice and cozy office spaces, however you can also work from home if you feel like it.

Our #LikeABosch benefits:

• 25 days of annual leave
• Medical subscription
• Accident insurance
• A monthly budget which can be used for several different services on an online benefit platform
• Annual bonus
• Relocation bonus
• Lunch discounts
• Sport activities and well-being initiatives
• Technical and soft skills trainings
• Access to e-learning platforms
• Local and Global career development programs
• Bookster subscription