Luxoft is a global leader in high-end software development.
Luxoft is looking for talents with a passion for technology & ready to create original solutions. Once on board, you are invited to expand your knowledge & skills, offering you a continuous learning experience helping you stretch your potential.
So if you’re enthusiastic by the idea of accessing cutting edge technology & innovation to make an impact, why don't you join us?
- Responsible for developing computer vision and machine learning technologies for prototyping and deployment on cloud and embedded systems.
- Building road scene reconstruction using computer vision and other
- complementary techniques such as:
- motion & trajectory estimation,
- scene understanding,
- visual odometry,
- sensor fusion,
- objects tracking,
- camera calibration,
- parameter estimation & optimization
- lanes and road detection etc.
- Experimenting with real-world data to validate, evaluate and improve the algorithms.
- Responsible for productizing the CV/ML algorithms into product features, with support and guidance from other system engineering teams
- Computer Science engineering degree or equivalent - Math, Physics or similarly quantitative-heavy background
- Experience with OpenCV or other computer vision libraries
- Experience in building visual data processing pipelines, including the design of necessary validation automation
- Experience in Python, OpenCV, Dlib
- Experience with common Machine Learning methods - Experience with Caffe, Theano, Keras or TensorFlow is a plus
- Experience in using Deep Learning models in automotive projects (object detection, scene semantic segmentation etc.)
- 2+ years of experience ii IT projects, ideally similar position
Are you looking for the opportunity to make a direct impact on next generation products with an industry leader? Do you have experience leading the design, development and enhancement of new and existing system technologies? Are you at ease working, collaborating and innovating in small, agile teams? Does your experience include working with embedded products that encompass hardware, system software, and application software components? Do you bring a can-do attitude and strong desire to win with you to work every day? Have you ever considered turning your car into a Transformer? If so, we could offer you something exciting!