Senior Software Engineer

Головна Вакансії компанії Intellias Senior Software Engineer

Project Overview:

Due to intensive growth Intellias is glad to invite to one of its automotive projects experienced senior software engineer with experience in algorithms development for embedded systems. Our client is Tier 1 vendor in area of ADAS / AD solutions. The project that the successful candidate will join is focused on design and development of machine learning algorithms for next generation ADAS/AD solution.
With our Client, a developer of Computer Vision (CV) solutions for Automotive Systems, we are developing Perception Platform for processing of Images and Video streams from ADAS Cameras, which is designed for dedicated System on Chip (SoC). Current tasks are related to pre-processing of raw data from Camera, and adaptation of the Platform to different SoC's.
We are looking for a Senior Software Engineer with strong Python basis, Machine Learning, Objects Detection, Supervised Methods, specifically for images and videos.

Рекрутерка

Тетяна Литвин

Responsibilities:

Architectural design of software components for ADAS/AD solution;
Implementation of software components for ADAS/AD solution;
Development of ML algorithms for ADAS/AD solution;
Optimization of ML algorithms for ADAS/AD solution;
Elaborate processing of data from Camera;
Cooperate with development team, both internal and at Client side;
Deliver state-of-the-art algorithms Computer Vision and Image Processing;
Build and maintain the infrastructure for data and model management;
Work closely with the Client's ML Team;
Define and lead the development of longer-term Perception Platform capabilities;
Elaborate solutions for Platform adaptation to different SoC's;
Stay in continuous communication with Client for technical topics.

Requirements:

5+ years of commercial experience with Python;
5+ years of Machine Learning algorithms development;
Experience with objects detection algorithms, supervised ML methods specifically for images and videos;
Experience with data processing tools (e.g. SciPy, NumPy, Pandas, PyTorch, and Apache Spark);
Experience in automation scripting for Machine Learning frameworks;
CI/CD systems;
Understanding of Agile methodologies and engineering practices;
In-depth understanding of supervised and unsupervised machine learning algorithms;
Proven track record of deploying learning algorithms in a production system, developing API for ML models;
At least upper-intermediate level of English;
Excellent analytical, algorithmic, and optimization skills;
Well-developed communication skills.