Full Stack Engineer Intern

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory‑built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next‑generation autonomous trucks. Responsibilities 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. Deliver Low‑Latency Data Access: Build a caching and pre‑aggregation layer to reduce latency in result fetching. 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. 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. Qualifications 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. Backend & Data Pipeline Development: Solid programming fundamentals (Python, SQL) and experience designing, building, and maintaining data processing pipelines and services. Performance & 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. 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. Big Data Processing: Hands‑on experience with distributed processing frameworks such as PySpark for large‑scale data pipelines. Domain Exposure: Familiarity with autonomous vehicles, robotics, or other sensor/telemetry‑heavy data environments. Benefits Work, learn and grow in a highly future‑oriented, innovative and dynamic field. Wide range of opportunities for personal and professional development. Catered free lunch, unlimited snacks and beverages. Highly competitive salary and benefits package, including 401(k) plan. #J-18808-Ljbffr