Mobileye is a pioneering force in the autonomous vehicles (AV) industry. If you are a bright hands-on developer with a passion for making a difference - join us to make AV a reality.

Which department will you join?

At Mobileye’s AI algorithms group, we harness the power of deep learning to revolutionize how an AV comprehends its environment in real-time. We develop state-of-the-art multi-task deep neural networks to identify vehicles, pedestrians, and road semantics. Our networks are trained on massive volumes of video data and subsequently deployed on Mobileye’s SoC, EyeQ, serving as the backbone for our AV products.

As a Software and MLOps Tech Lead, you will spearhead two key initiatives:

• Deploying the group’s developed algorithms into the company's primary algorithmic flow, focusing on enhancing runtime efficiency and accelerating delivery.
• Automating the group’s training pipeline using robust MLOps infrastructures, to expedite our development cycle.

What will your job look like?

• Design, build, and maintain new tools and software infrastructure within the company's primary algorithmic flow.
• Implement large-scale projects in C++ within a real-time oriented system.
• Work and collaborate with multiple departments in Mobileye, acquiring broad insights into algorithmic and technical details.
• Debug real-time oriented code while meeting high standards of memory and running-time requirements.
• Develop, manage, and support automatic solutions to improve integration and validation workflows.

All you need is:

• B.Sc. in Computer Science or Software Engineering.
• A minimum of 3 years of experience in C++ development.
• A minimum of 3 years of experience in Python development.
• Proficiency with the Linux environment, virtual environments, and Docker containers.

Advantages:

• Practical experience with git submodules.
• Background in deep learning.
• Experience with Cloud services (AWS) .
• Experience with CI/CD pipelines.
• M.Sc. in Computer Science or Software Engineering

Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!