Algorithm Developer for REM live Team

Posted Yesterday
Be an Early Applicant
Hiring Remotely in Jerusalem, ISR
Remote or Hybrid
Mid level
Automotive • Automation
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assist technologies.
The Role
Develop and optimize algorithms for continuously updating large‑scale 3D HD map creation. Implement and maintain production Python code, analyze large datasets using scientific and big‑data tools, and take research prototypes through production deployment to improve road safety.
Summary Generated by Built In

You will be part of Mobileye's REM (Road Experience Management) department, responsible for the automatic 3D High-Definition map making process, a key technology powering Mobileye's autonomous driving and advanced driver assistance systems. This process runs large‑scale algorithmic pipelines on big‑data infrastructure and requires a deep understanding of the team level code, a good understanding of the data flow integration with the group level, along with strong technical and algorithmic capabilities.

We are seeking an algorithm developer to help improve our solution for continuously updating maps following road changes, contributing directly to technologies that improve road safety.

What will your job look like:

  • Design, develop, and optimize algorithms for updating large‑scale map creation systems.
  • Implement and maintain production‑level Python code within a complex, large codebase.
  • Analyze large datasets and build scalable solutions using scientific and big‑data tools.
  • Take algorithms from research and prototyping through production deployment.
  • Continuously research and develop new algorithmic approaches to address emerging challenges.

All you need is:

  • B.Sc. in Computer Science, Mathematics, Electrical Engineering, Physics, or a related field.
  • 3+ years of experience working with large production codebases.
  • 2+ years of experience developing scientific or data‑intensive applications in Python - advantage.
  • Proven ability to solve complex problems.

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

  • B.Sc. in Computer Science, Mathematics, Electrical Engineering, Physics, or related field
  • 3+ years of experience working with large production codebases
  • Experience implementing and maintaining production‑level Python code within a large, complex codebase
  • Proven ability to solve complex problems
  • Experience analyzing large datasets and building scalable solutions with scientific and big‑data tools
  • 2+ years developing scientific or data‑intensive applications in Python (advantage)
  • Experience taking algorithms from research/prototyping through production deployment
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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.

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