Mobileye

Computer Vision Algorithms Developer

Posted Yesterday

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Ramat Gan, ISR

Hybrid

Mid level

Automotive • Automation

Mobileye is leading the mobility revolution with its autonomous-driving and driver-assist technologies.

The Role

Research, design, implement and optimize lidar-based computer vision algorithms in Python and C++; evaluate and improve models on large-scale real-world vehicle data; collaborate cross-functionally to meet ADAS and autonomous driving requirements.

Summary Generated by Built In

Mobileye is a global leader in autonomous driving technologies and advanced driver-assistance systems (ADAS). Our cutting-edge solutions, including the EyeQ® chip, Mobileye SuperVision™, Mobileye Drive™, and Mobileye Chauffeur™, leverage computer vision and machine learning to enhance vehicle safety and enable self-driving capabilities. Integrated into millions of vehicles worldwide, our technology is redefining the automotive industry and driving the evolution towards smarter, safer, and more autonomous mobility.

In our group, we research, develop, and deploy state-of-the-art lidar based techniques to achieve world-class results, enabling the safe development of Autonomous Driving features and Advanced Driver Assistance Systems.

** This role requires working at our Jerusalem offices 2 days per week.

What will your job look like:

Research, design, develop, and implement lidar based algorithms in both Python and C++ for solving complex problems
Evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy
Examine your algorithms on large-scale real-world data from our data collection vehicles across the globe
Collaborate with cross-functional teams to understand requirements and develop solutions
Optimize existing algorithms to improve performance and scalability

All you need is:

M.Sc. in Computer Science, Electrical Engineering or a related field
3+ years of experience in developing Computer Vision algorithms
Strong statistical analysis, mathematical, and problem-solving skills
Ability to learn new technologies and techniques
Independence, creativity and a proactive approach
Experience with the automotive industry is an advantage

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!

Skills Required

M.Sc. in Computer Science, Electrical Engineering, or related field
3+ years of experience developing Computer Vision algorithms
Experience developing lidar-based algorithms
Proficiency in Python
Proficiency in C++
Strong statistical analysis, mathematical, and problem-solving skills
Ability to learn new technologies and techniques
Independence, creativity and a proactive approach
Experience with the automotive industry

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The Company

HQ: Jerusalem

3,700 Employees

What We Do

Mobileye is leading the mobility revolution with its autonomous-driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping, and data analysis. Founded in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and the RSS™ safety model. These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. Mobileye technology is used in over 170 million vehicles worldwide. In 2022, Mobileye became an independent company while still being majority-owned by Intel. Mobileye’s headquarters and R&D center are based in Jerusalem, with additional offices across Israel and around the world.

Why Work With Us

Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver assistance systems, and delivers valuable intelligence to optimize mobility infrastructure.