Full Stack Engineer Intern

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  "active_status": "active"
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{
  "lists": [
    {
      "text": "Responsibilities:",
      "content": "<div>\n\n<li>\n<p>Build the Metrics Visualization Hub (Full-Stack): Design and ship an end-to-end web application — front-end dashboards through back-end services — that makes autonomous-vehicle product metrics, route analytics, and pipeline health easy to explore for engineering and operations teams.</p>\n</li>\n<li>\n<p>Deliver Low-Latency Data Access: Build a caching and pre-aggregation layer to reduce latency in result fetching</p>\n</li>\n<li>\n<p>Optimize the Metrics Calculation Pipeline: Profile, refactor, and scale the back-end pipelines that compute product metrics, operation summaries, and route extractions — improving throughput, controlling cost, and strengthening the correctness of derived measures.</p>\n</li>\n<li>\n<p>Develop the Metrics Validation Process: Build and automate validation tooling that cross-checks pipeline outputs against source-of-truth references, flags discrepancies, and gates bad data before it reaches downstream consumers — turning manual triage into a repeatable, alert-driven workflow.</p>\n</li>\n\n</div>"
    },
    {
      "text": "Required Skills:",
      "content": "<div>\n\n<li>\n<p>Full-Stack Web Development: Strong proficiency building modern web applications end-to-end — front-end frameworks (e.g., React/TypeScript) and back-end services/APIs (e.g., Python/FastAPI) — with an eye for clean, responsive, data-rich interfaces.</p>\n</li>\n<li>\n<p>Backend &amp; Data Pipeline Development: Solid programming fundamentals (e.g., Python, SQL) and experience designing, building, and maintaining data processing pipelines and the services.</p>\n</li>\n<li>\n<p>Performance &amp; Scalability: Ability to analyze code, system architecture, and data pipelines to improve execution speed and resource efficiency, including caching and pre-aggregation strategies for low-latency data access.</p>\n</li>\n\n</div>"
    },
    {
      "text": "Preferred Skills:",
      "content": "<div>\n\n<li>\n<p>Working with Large Datasets: Experience handling and processing high volumes of structured and time-series data, with strong SQL skills and familiarity with relational and/or columnar databases.</p>\n</li>\n<li>\n<p>Big Data Processing: Hands-on experience with distributed processing frameworks such as PySpark for large-scale data pipelines.</p>\n</li>\n<li>\n<p>Domain Exposure: Familiarity with autonomous vehicles, robotics, or other sensor/telemetry-heavy data environments.</p>\n</li>\n\n</div>"
    }
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  "country": "US",
  "createdAt": 1778811243769,
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    "team": "Data",
    "location": "Santa Clara, CA",
    "commitment": "Intern",
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