Validation Analytics Tools Developer
MobileyeJerusalem и ещё 1 городГибридот 3 летПолная занятость
PythonSQLAILinuxAWSMachine LearningETLpandasNumPyData AnalyticsAutonomous VehiclesmatplotlibPlotly
Описание
The AV Validation teams are looking for an experienced Python developer with a strong background in data analytics and AI-enabled tools to develop metrics, methodologies, and applications for evaluating autonomous-vehicle sensing performance.
Responsibilities
- Design, develop, and maintain Python-based analytics applications and internal tools for AV validation
- Develop metrics, reports, and methodologies for measuring Sensing State performance across software versions
- Build tools for event investigation, data exploration, visualization, and actionable reporting
- Develop and evaluate AI-enabled capabilities for analysis, classification, root-cause investigation, and knowledge extraction
- Define evaluation datasets, quality metrics, and regression tests for AI-assisted analysis tools
- Collaborate with Algorithms, Data, and Validation teams to turn analytical findings into reliable, maintainable products
Requirements
- B.Sc. in Computer Science, Engineering, or a related field; relevant IDF or equivalent practical experience is also welcome
- 3–5 years of professional Python development experience in analytics, automation, data-intensive applications, or internal tools
- Strong hands-on experience with data-processing and visualization libraries such as Pandas, NumPy, Matplotlib, Plotly, or similar
- Experience analyzing complex datasets and translating findings into practical metrics, tools, and engineering decisions
- Strong understanding of data structures, algorithms, software design, debugging, testing, and maintainable code
- Experience applying machine-learning or generative-AI capabilities in software products, analytical workflows, or developer tools
Nice to have
- Familiarity with SQL, Linux, and version-control workflows
- Experience with AWS, ETL/data platforms, dashboards, LLM applications, agentic workflows, AI evaluation, or scikit-learn/PyTorch/TensorFlow
We offer
- Full time
- Hybrid work model