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Senior Python Developer - GenAI & Infrastructure

Mobileye, an Intel Company

Mobileye, an Intel Company

Posted on Feb 26, 2026
Mobileye’s AV Group in Jerusalem is looking for a Senior Python Developer to join our growing infrastructure and GenAI efforts.
This role is focused on hands-on development of internal tools, automation frameworks, and GenAI-based pipelines that support development and validation activities across autonomous driving programs.
You will work closely with technical leads and architects to implement scalable, high-quality solutions that improve engineering productivity and enable innovation.

What will your job look like?

  • Develop GenAI-based tools and pipelines (LLM integrations, data preprocessing, automation workflows, evaluation utilities).
  • Implement and maintain scalable internal tools and infrastructure components in Python.
  • Build automation frameworks that improve development, testing, and CI/CD workflows.
  • Develop backend services and utilities that support simulation, validation, and analytics processes.
  • Collaborate with developers and team leaders to translate high-level designs into robust, production-ready systems.
  • Improve reliability, performance, and maintainability of existing infrastructure tools.
  • Contribute to engineering best practices, code quality, and technical standards within the team.

All you need is:

  • 5+ years of hands-on software development experience in mid-to-large-scale environments.
  • Expertise in Python (advanced OOP, async/concurrency, packaging, debugging, performance tuning).
  • Experience building backend systems, automation tools, or developer-focused infrastructure.
  • Experience working in Linux-based development environments.
  • Practical experience with Git and CI/CD workflows.
  • Strong debugging and problem-solving capabilities.
  • Ability to take ownership of features from design discussion to production delivery.

Advantages:

  • Experience integrating GenAI / LLM-based tools into engineering workflows.
  • Experience with data pipelines and structured data processing.
  • Familiarity with Docker or containerized development environments.
  • Experience working in cross-functional engineering teams.