October 16, 2024

Bosch Romania

Cluj-Napoca

OTHER

Computer Vision Engineer, Mobility Aftermarket Technology

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 andamp; 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 #Like ABosch
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 (Tensor Flow, Py Torch, etc.);
You enjoy working on both research andamp; development related activities;
You are motivatedand#xa0;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
#Like ABosch Benefits:
Your work-life balance is valuable to us, so we offer you:

25 Days of annual leave, because work-life balance is essential to us;and#xa0; and#xa0;
Flexible working hours, but if you want to work from somewhere else, feel free, ourand#xa0;Home Officeand#xa0;program helps you do that.

Yourand#xa0;healthand#xa0;andand#xa0;well-beingand#xa0;is important to us, so we have you covered:

Medical subscription;
Accident insurance;
Sport activities and well-being initiatives.

We believe in aand#xa0;Life-Long Learningand#xa0;approach, so you can take advantage of:

Technical and soft skills trainings;
Access to e-learning platforms;
Local and Global career development programs;
Opportunity to attend conferences;
Bookster subscription.

You will be part of aand#xa0;product company. You will contribute to developing end-to-end products that are delivered to Global OEMs.
On top of these, we are offering:

A monthly budget which can be used for several different services on an online benefit platform;
Annual bonus;
Lunch discounts.

Ready to workand#xa0;#Like ABosch-
We live by our values, have an open feedback culture and there is plenty of room for innovative ideas. All because a team is only as valuable as its members.
Job Description
We are currently looking for aand#xa0;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 andamp; out of the car, transforming the camera-based 3D perception technologies into valuable tools andamp; intelligent products for 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, Open CL, CUDA, ...)
Linux
GIT, Jira, Bitbucket, Docker
Jenkins, CMake or equivalents

Job Description
We are currently looking for aand#xa0;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 andamp; out of the car, transforming the camera-based 3D perception technologies into valuable tools andamp; intelligent products for 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: