Senior Computer Vision Software Engineer for Self-Driving Cars

Company Description

Since its establishment in 2013, Bosch Engineering Center Cluj plays an essential role in the current transformation of the mobility sector. Through its extensive expertise in software, hardware & mechanical engineering, reliability engineering, as well as sales planning, the center contributes to the development of innovative products and services based on artificial intelligence (AI) applied in the fields of automated driving, electric and connected mobility. Thanks to the diverse professional and personal development opportunities, flexible working conditions, modern offices and laboratories in Cluj-Napoca, Jucu, Bucharest and Sibiu, we are one of the most desired employers among engineers and IT professionals in Romania.

Our promise to our colleagues is rock-solid: we grow together, we enjoy our work, and inspire each other. Join us and see the difference. Work #LikeABosch

Job Description

We are currently looking for a Senior Computer Vision Software Engineer for Self-Driving Cars 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 technologies. We develop state-of-the-art computer vision algorithms, art neural networks based on video sensors with the focus on traffic/driving/parking scenes understanding. Our activities cover a broad set of computer vision algorithmic methods and entire data-driven development loop ranging from data selection and filtering to creating models for various vision tasks and to optimizing & deploying them on embedded automotive hardware, for self-driving / automated driving cars. Our applications cover various mobile platforms (vehicles, motorcycles, etc.), enabling automatic lateral and longitudinal control of the vehicles as well as high-definition maps creation.

In your role you will:

• Develop computer vision based environment perception algorithms for assisted and automated driving systems;
• 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);
• Create, adapt and train deep learning models that detect / classify / segment objects of interest in the context of automated driving, such as, but not limited to: vehicles of all types, pedestrians, road infrastructure elements, traffic lights, signs, free-space etc;
• Be responsible for the data-engineering related activities such as data filtering and automatic search, doing statistics, defining labeling guidelines, preparing the data requirements for each model etc;
• 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 will experiment ways to improve scenarios with undesired behavior;
• Evaluate and tune the algorithmic performance on large data-sets for reaching series-ready systems performance;
• Occasionally develop offline algorithmic methods for reference sensors data processing (e.g. LiDAR) and visualization software (e.g. 3D visualization);

Technology Stack:

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

Qualifications

• You have at least 5 years of 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 an extensive experience with Python, object oriented programming and 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