Experienced Software Engineer - Data Systems & Tools

Mobileye is looking for an experienced Software Engineer to join our Algorithms organization and help build the systems, tools, and workflows that support large-scale data operations and analysis.

In this role, you will take ownership of designing and developing solutions that streamline data request management, pipeline monitoring, reporting, and operational workflows across multiple products and systems.

You will work closely with algorithm developers, analysts, product stakeholders, and infrastructure teams to transform ad-hoc processes into scalable, maintainable systems. The systems and tools will coordinate work through the workflow, detect blockers and rerun needs, and provide a reliable operational view across requests, products, and issues.

We are looking for an engineer with strong system-level thinking, a proactive mindset, and the ability to independently define requirements, identify gaps, and drive projects from concept to production.

What will your job look like:

• Design and develop scalable systems and tools that support data operations, workflow management, and pipeline monitoring.
• Collaborate with analysts, product stakeholders, and engineers to define requirements and deliver end-to-end solutions.
• Transform manual processes and ad-hoc scripts into robust production-grade systems.
• Investigate and troubleshoot issues across data pipelines, infrastructure, and operational workflows.
• Take ownership of projects from system design through deployment and continuous improvement.
• Develop primarily in Python within modern production environments.

All you need is:

• B.Sc. in Computer Science, Software Engineering, or a related technical field.
• 3+ years of software engineering experience in production environments.
• Experience designing, building, or maintaining production systems with a broad system-level perspective.
• Proven experience working on complex systems involving data processing, workflows, backend services, or infrastructure components.
• Strong programming skills in Python.

Nice to have:

• Experience with Kubernetes, Docker, or similar containerized environments.
• Experience working with CI/CD processes and deployment pipelines.
• Exposure to algorithm development environments or machine learning workflows.