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Computer Vision Algorithm/SW Engineer

Ambarella
Provincia di Parma, Emilia-Romagna
Full time
3 settimane fa


We’re growing! Our Autonomous Driving team in Parma (Italy) is seeking a Computer Vision Algorithm/SW Engineer to join the team. 

 

The opening is for a computer vision scientist in the field of automotive ADAS and Autonomous Driving applications. The successful candidate will play a leading role in the development of state-of-the-art obstacle tracking, 3D reconstruction and visualization algorithms based on computer vision and machine learning.


 Responsibilities:

• Develop computer vision and machine learning algorithms/support tools with a strong focus on robustness and efficiency; 
• Integrate new algorithms in existing Autonomous Driving framework;
• Produce documentation and reports to facilitate collaboration with colleagues;

•Participate to the preparation and/or participation, even not continuously, to the experimental activities and company’s test in real scenarios, in other words acquisition data activities and experimentation/automatic driving test.

 

Requirements:

• A master degree in Computer Engineering, CS or equivalent;
• Experience in the development of CV algorithms, experience in 3D point cloud processing is a plus;
• Experience in machine learning is a plus; 

• Solid understanding of projective geometry, linear algebra, non-linear optimization and numerical methods;

• Strong analytical and problem solving skills;
• Good C/C++/Python design and development skill;
• Ability to learn different programming languages and to quick context switch;
• Good verbal and written communication skills;


 
To apply:
please submit resume with subject: Job #RepMG_ACI to [email protected] or apply online on Ambarella website at Careers section.

As an Equal Opportunity/Affirmative Action Employer, Vislab and Ambarella recruit qualified applicants without regard to race, color, national origin, sex, physical disability, or veteran status.


Please find at this link our privacy disclaimer dedicated to candidate’s data, accordingly to the GDPR: https://tinyurl.com/yd66nbsa

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