🕒 2 days ago
As an IP Capacity Planner, you'll leverage data and automation to model networks, forecast capacity needs, and enhance network performance in a collaborative environment.
Validation Analytics Tools Developer
🕒 25 days ago
PythonData AnalyticsAI ToolsData Processing
📜 Description
- 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.
- 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.
- Familiarity with SQL, Linux, and version-control workflows.
Full job description
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.
The AV Validation organization is responsible for evaluating the safety, quality, and performance of autonomous-vehicle systems. Our team combines large-scale validation data, analytics, and modern AI capabilities to develop tools and methodologies that help engineers understand sensing behavior, identify performance gaps, and measure progress across AV software versions.
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