Python Automation Infrastructure Developer

The Algo Architecture Validation team is responsible for validating the software delivery of Mobileye’s algorithmic ecosystem. We are looking for an Automation Infrastructure Developer who will focus on building automation services, frameworks, and tooling that support large-scale validation workflows.
What will your job look like:
Design, develop and maintain automation infrastructure, internal services, and shared libraries
Develop robust test frameworks and enable write reliable automated tests efficiently
Build tools and pipelines that improve test execution, data processing, logging, and reporting
Collaborate closely with algorithm developers, system engineers, and validation teams to integrate automation solutions into complex environments
Analyze system behavior, identify gaps and bottlenecks, and propose technical solutions
Troubleshoot and resolve issues in automation services, framework stability, and performance
All you need is:
Bachelor's degree in Computer Science, Software Engineering, or a related field
3+ years of hands-on Python development, with emphasis on infrastructure, tooling, or backend-like services
At least 2 years of experience as part of an Automation Infrastructure team — Must
Strong familiarity with automation frameworks (pytest - must)
Experience writing reusable libraries, decorators, fixtures, adapters, or middleware
Experience with CI/CD systems (Git, GitLab, Jenkins, etc.) — Must
Good understanding of Linux environments, processes, logging, and debugging
Strong problem-solving and system-level thinking
Experience with Docker, micro-services, or distributed test execution — Advantage
Experience with ELK or other observability tools — 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!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.