Full Stack Engineer Intern

Plus 2; Santa Clara (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Catered free lunch

Unlimited snacks and beverages

401(k) plan

Career development opportunities

Job summary

PlusAI is hiring a Senior Full-Stack Engineer to build a Metrics Visualization Hub that spans frontend dashboards and backend data services. You will implement low-latency access through caching and pre-aggregation, and refactor data pipelines to scale metrics, route analytics, and health checks for engineering and operations teams.

Join a team applying Python, FastAPI, React, and SQL to large time-series datasets in the autonomous-vehicle domain.

Qualifications

• Experience building end-to-end web apps with React/TypeScript and Python/FastAPI.
• Solid Python and SQL skills for data pipelines.
• Experience with caching & pre-aggregation for low latency.
• Experience with large datasets and time-series data.
• Hands-on PySpark for distributed processing.
• Familiarity with autonomous vehicles or robotics data.

Responsibilities

• Build the Metrics Visualization Hub end-to-end: frontend dashboards through backend services.
• Deliver Low-Latency Data Access with caching and pre-aggregation.
• Optimize the Metrics Calculation Pipeline for throughput, cost, and correctness.
• Develop the Metrics Validation Process to gate bad data before downstream use.

Skills

Full-Stack Web Development

Backend & Data Pipelines

Performance & Scalability

Large Datasets & Time-series

Distributed Processing (PySpark)

Autonomous Vehicles Domain

Tools

React

TypeScript

Python

FastAPI

SQL

PySpark

Job description

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.