Position: Computer Vision Engineer
Company: GlobalLogic
Experience required: 2y
Category: Data Science
English level: upper
Published: 2021-11-01T00:00:00+02:00

Job Description
Required competencies:
- At least 2 years of relevant development experience
- Classical Computer Vision OR Machine Learning/Deep Learning 
 experience
- Expertise with C++(14) OR Python 3.x to the level of ability to implement 
 computer vision algorithms
- Strong communication skills
- Upper-intermediate English

Nice To Have:
- Image processing or computer graphics experience
- Image Signal Processing / Digital Signal Processing
- Data Science and Data Engineering: feature engineering, data 
 preprocessing, unsupervised methods. Data annotations
- Knowledge of NVidia stack: CUDA, TensorRT, Nsights
- Testing: unit tests, integration tests, Google Test, PyTest
- CI/CD: Git/Gerrit, Jenkins, GoCD, Docker, Bazel
- ELK and databases
- Visualization tools
- Experience with automotive-specific tools and standards, AUTOSAR, 
 QNX, DriveOS, understanding of functional safety

Job Responsibilities:
- Development of computer vision solution to recognize vehicles in emergency from camera images (classical computer vision/machine learning)
- Bringing the developed solution to production-ready level of maturity (C++)

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.