Position: Senior Vision Data Engineer
Company: GlobalLogic
Category: Data Engineer
Experience required: 3y
English level: upper

Job Description
Required competencies:

Data engineering/science experience (including tools such as databases, processing pipelines etc.)

Python

SQL

Computer vision

Linux

Docker

Git

Job Responsibilities
As a software engineer in the ADAS team, your primary responsibility will be to contribute to the data selection process for the ADAS feature. You will use your data engineering/science skills to design and maintain a data processing pipeline, write complex SQL queries and Python scripts to select the data and leverage computer vision approaches to search for data. You will also be responsible for visualizing the selected data distribution using tools such as Grafana.


In addition to data selection, you will also coordinate the annotation process with external vendors. This will require excellent communication skills to ensure that the annotation process runs smoothly and meets the project's requirements.


As a team member, you will be expected to have solid Python skills and experience with databases and tools such as Docker, Git, and Linux. You should also have a good understanding of computer vision and the ability to work with large datasets.


Finally, you will be responsible for keeping track of the gathered data, ensuring that the team has access to the data they need to develop and test the ADAS feature.

Department/Project Description
Zenseact’s purpose is to make safe and intelligent mobility real, for everyone, everywhere. We develop the complete software stack for ADAS and AD, from sensing to actuation. Our focus is to build a single cutting-edge software platform in order to serve various levels of autonomy and offer unequaled scalability at the same time. The head office is in Gothenburg, Sweden. Zenseact’s first self-driving deployment will be launched on the next-generation vehicle platform from Volvo Cars.

 

Self-driving cars, when real, is estimated to reduce fatal car accidents with more than 85%, saving more than 50,000 persons from dying in car accidents caused by human errors each year. We feel that is a goal worth pursuing.

 

But technology, software, tools and datasets would not mean much without the best people behind the wheel to drive them. At Zenseact, some five hundred of the best engineering minds globally, stationed across two continents, are collaborating with the same passion: to bring autonomous driving to the streets for real and create a safer journey for everyone. This is part of our culture and how we work, develop and grow together. 

 

Zenseact has a flexible and modern approach, thus is happy to offer to its employees the possibility for a combination of work at the office and from home. 

 

 Apart from your skillset your mindset will take you even further. With genuine team playing attitude and a high feeling of responsibility and thoroughness you will quickly thrive and grow in your role. We have space for your ambition to mentor others by sharing your knowledge in software craftmanship.

 

We strive for a T-shaped competence profile for all team members, so every member must be open to work on all topics relevant for the team while still fostering their special expertise.