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C++ Team Leader for Machine Learning & Computer Vision at Rail Vision
Raanana, Center District, Israel -
Full Time

Start Date

Immediate

Expiry Date

25 Jul, 26

Salary

0.0

Posted On

26 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

C++, Machine Learning, Computer Vision, DSP, Image Processing, Deep Learning, Nvidia Platforms, Multithreaded Programming, Algorithms, Python, Bash, Neural Networks, TensorRT, OpenCV, CUDA, Team Leadership

Industry

Railroad Equipment Manufacturing

Description
We are looking for an experienced, creative with an exceptional mathematical thinking and highly motivated C++ Team Leader for Machine Learning & Computer Vision implantation, to join our top-notch software group. In this position, you will lead a team of developers designing and implementing high-performance DSP, Image Processing, Deep Learning and Computer Vision algorithms, using the most advanced technology such as the newest Nvidia platforms, advanced C++, and modern development procedures and tools. The team works intensively with the algorithms engineering teams, converting algorithms, and making them suitable to be used on real-time system. Requirements - Bachelor’s degree in a relevant technical discipline. - Experience in managing a software team. - At least 5 years' experience modern C++ (11 or newer). - Background with multithreaded programming. - Mathematics and algorithms oriented. - Excellent teamwork and human relations. - Independent, self-motivated, and fast learner. Advantages - Experience working in multidisciplinary environments. - Hands on experience with Python and Bash development. - Proven experience in image, Computer vision , Deep learning & Neural Networks - Familiarity with TensorRT framework. - Familiarity with OpenCV. - Familiarity with CUDA and NVIDIA platforms.
Responsibilities
Lead a team of developers in designing and implementing high-performance algorithms for DSP, Image Processing, and Deep Learning. Collaborate with algorithm engineering teams to optimize and integrate these solutions into real-time systems.