Machine Learning Embedded Software Engineer

AUSY Technologies Romania is part of the AUSY Group, an International Advanced Technology Consultancy and Engineering Company. AUSY Group currently operates across 11 countries through its more than 6500 employees, sharing three defining concepts “Vision, High Quality, and Commitment”.

The company has been operating since, with offices located in Bucharest and Sibiu. Our mission is to be a trusted technology partner, providing clients with innovative project solutions and tailored consulting services. AUSY Technologies Romania works with clients on a vast range of projects across diverse industries, among which Aeronautics, Space Industry, Defense, Energy, Telecommunications, Healthcare, IT and Banking, Multimedia and many more.

- Bachelor's, Computer Engineering and/or Computer Science and/or Electrical Engineering;
- Familiar with C and C++;
- Solid hands-on software design and development experience on embedded computing platforms;
- Working knowledge of deep learning frameworks like Tensorflow, Caffe, Pytorch;
- Script language (python, bash);
- Experience with Source Code and Configuration management tools such as git;
- Good analytical and communication skills;
- Good communication skills (written and verbal) and team player.

- Evaluating state of the art deep learning algorithms;
- Algorithm analysis, prototyping and optimization;
- Design and implementation of AI enablement SDKs for latest Autonomous/ADAS SoCs and platforms.

Will be considered a plus

- Prior knowledge and experience working with state of art deep learning algorithms: SSD, Inception, YOLO and etc.;
- Machine learning, deep learning, computer vision, or image processing based application development;
- Experience with embedded RTOS (Linux, QNX, GHS INTEGRITY, or similar);
- Working knowledge or understanding of DSP/GPU/SIMD programming.

Benefits

- Attractive salary package according to your experience, including several types of bonuses;
- Challenging and interesting project in a dynamic international working environment;
- Possibilities of promotion and development of a career plan;
- The chance to meet and work in our clients’ locations all over the world;
- Access to a private medical insurance to take care of your health;
- Meal tickets.