Deep Learning Engineer for Self-Driving Cars, Cluj/Bucharest

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.

• You have a university degree in computer science, automation, electronics and telecommunications, informatics, mathematics or comparable;
• You have a thorough understanding of deep learning / machine learning (i.e., building blocks, mathematics, and intuition behind);
• You have experience with Python and with a deep learning training framework (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;

Nice to have:

• Experience with deep learning-based multi-task perception;
• Experience with non-learning-based algorithms (i.e., 3D computer vision, optical flow, tracking etc.);
• Experience with C++ (for model deployment, re-simulation, pre/post processing);
• Experience with developing automated driving systems;
• Experience with software design on embedded systems;
• Knowledge of embedded software optimization and parallelization (ex: NEON, DSP) for real-time performance;
• Experience with software documentation, tracking (ex: Jira) and versioning tools;
• Not even the slightest desire to develop any kind of web design / java project;

#LikeABosch Benefits:

Your work-life balance is valuable to us, so we offer you:

• Annual leave, because work-life balance is essential to us;   
• Flexible working hours, but if you want to work from somewhere else, feel free, our Home Office program helps you do that; 

Your health and well-being is important to us, so we have you covered:

• Medical subscription
• Accident insurance
• Sport activities and well-being initiatives

We believe in a Life-Long Learning 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 a 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
• Relocation bonus

Ready to work #LikeABosch?

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. You will be part of a product company. You will contribute to developing end-to-end products that are delivered to Global OEMs.

We are a team of engineers that harness the power of artificial intelligence and deep learning to create industry leading automated driving technologies. We develop state-of-the art neural networks based on video sensors, with the focus on the traffic / driving scenes understanding. Our activities cover the 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. Join us in our deep learning revolution! 

In your role you will:

• 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 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;

Technology Stack:

• Python, C++
• Tensorflow, Keras, Pytorch
•  Matlab, OpenCV
•  NEON
•  Horovod, Microsoft Azure, Nvidia CUDA
•  Linux
•  GIT, Jira, Bitbucket