Algorithm Developer for Geometric Team

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 a geometrically‑inclined algorithm developer to solve real‑world geometric problems using signal processing, contributing directly to technologies that improve road safety.

What will your job look like:

• Design, develop, and optimize geometric and signal‑processing algorithms for 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.

• May explore Graph Neural Network (GNN) based approaches to complement geometric algorithms.

All you need is:

• B.Sc. in Computer Science, Mathematics, Electrical Engineering, Physics, or a related field.

• 5+ years of experience working with large production codebases.

• 2+ years of experience developing scientific or data‑intensive applications in Python.

• Proven ability to solve complex problems.

Nice to have:

• Advanced degree (M.Sc. or Ph.D.).

• Experience in statistical estimation.

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!

Verified from the employer's public Lever job collection. The provider-supplied title, description, location and application URL were normalized without inferring unstated facts.