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Venti Technologies

Autonomous Driving Data Analysis Intern

Posted 2 Hours Ago
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In-Office
Singapore, SGP
Internship
In-Office
Singapore, SGP
Internship
Support autonomous-vehicle data analysis by mining vehicle logs for scenarios and edge cases, building ETL pipelines, developing internal dashboards, and exploring AI agents for automated analysis and scenario generalization. The internship requires Python, Linux, SQL, and database knowledge, with bonus experience in web development, frontend tools, visualization, LLMs, Git, or Docker. Students must commit to a four- to six-month internship.
The summary above was generated by AI
A world empowered by autonomy. We build robotic vehicles to improve logistics safety, forge a greener Earth, and enhance human lives.

We are a closely-knit team aspiring to change the world through disruptive technology. We are innovators. We are tinkerers. We are problem-solvers. And we have a fair amount of magic dust up our sleeves. We have a plan for fleet-level deployment of autonomous vehicles, and we are looking for the best-of-the-best to join us in making this a reality.


About Venti Technologies

Based in the U.S. and Asia, Venti Technologies is the leader in safe-speed autonomous logistics systems, developing the future of goods transportation. Using rigorous mathematics, deep learning, and theoretically-grounded algorithms, Venti has a proprietary collection of autonomy technologies including a suite of powerful logistics algorithms. Venti’s proven value proposition of saving costs, increasing vehicle utilization, and improving safety is recognized by customers and driving growth. Launched in 2018, Venti brings together an unsurpassed team internationally. The company has autonomous systems deployed in Asia for industrial and logistics sites and a growing pipeline. Venti has offices in Cambridge (Massachusetts, USA), Suzhou (China), and Singapore – our Asian headquarters.

Role Overview

We are seeking a passionate and driven Data & AI Engineering Intern to join our autonomous driving team. In this role, you will be at the heart of our data loop/flywheel, solving complex data-governance challenges for massive fleet test data using cutting-edge AI technologies (such as LLMs and AI Agents). You will play a key role in building highly efficient automated data pipelines and full-stack internal platforms, directly empowering the rapid iteration and validation of our autonomous driving systems.

Role responsibilities

AV Scenario Data Mining: Assist in analyzing and extracting critical driving scenarios and edge cases from vehicle log data (e.g., sensor feeds, speed, trajectories).

Data Pipeline Support: Help build and maintain automated scripts (ETL) to parse, clean, and organize massive amounts of test data.

Internal Tool Development: Assist in maintaining and developing basic features for our internal web dashboards (e.g., visualizing test metrics or scenario statistics).

AI Agent Exploration: Under the guidance of your mentor, explore using AI agents/bots to perform automated data analysis and assist in scenario generalization.

Required Experience

• students studying BS, MS, or PhD in Computer Science, Software Engineering, Robotics, or a related field.

• Solid Python programming skills and comfort working in a Linux/Ubuntu environment.

• Basic knowledge of SQL and database concepts.

• Strong logical thinking, a passion for autonomous driving, and a fast learner.

Bonus experience

• Basic experience with backend web development (e.g., FastAPI, Flask, Django).

• Basic understanding of frontend development (e.g., React, Vue.js) or visualization tools.

• Curiosity about or basic experience with Large Language Models (LLMs) or AI Agents.

• Familiarity with Git and Docker.


We are looking for students with ability to commit to 4-6 months internship with us!

 

We also offer world-class benefits, fantastic culture, flexible working arrangements, and a great international working environment. Come and join us! Come change the world!

Venti Technologies Singapore, Singapore, SGP Office

77 Ayer Rajah Crescent, Singapore, Singapore, 139954

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