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.