Intern, Software Engineer-Autonomous Driving Platform

Posted 8 Hours Ago
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Houston, TX, USA
In-Office
Internship
Logistics • Transportation
Transforming American Transportation
The Role
As a Software Engineer Intern, you will contribute to the development of systems for autonomous driving, writing code, supporting CI/CD pipelines, and collaborating with cross-functional teams.
Summary Generated by Built In
Company Introduction

At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.

About the Role

Our Platform Team develops and maintains the core systems that power our self-driving truck technology—including simulation engines, metric systems, cloud computing platforms, operational schedulers, and HMI solutions. We’re looking for a versatile software engineer with solid engineering fundamentals to join us in building scalable tools and infrastructure for autonomous driving.

As a Software Engineer Intern on the Platform Team, you will contribute to the design, development, and integration of testing tools, backend services, front-end interfaces, and cloud infrastructure. You’ll work closely with senior engineers and cross-functional partners to deliver production-ready systems and internal tools that support the broader autonomous vehicle stack.

Key ResponsibilitiesSystem Development & Integration
  • Contribute to the development of simulation systems, testing tools, metric pipelines, cloud infrastructure, and HMI modules
  • Write production-quality code in C++, Python, or Go to support core platform features
  • Write unit/integration tests, conduct code reviews, and maintain clear technical documentation
Cloud & DevOps Support
  • Assist in building and maintaining CI/CD pipelines (e.g., GitHub Actions, Jenkins)
  • Support containerization and deployment processes using Docker and Kubernetes
  • Help manage and scale services on AWS, GCP, or Azure
Cross-functional Collaboration
  • Partner with product managers, operations teams, and engineers from Perception, Planning, and Control
  • Help define and clarify requirements and ensure smooth integration with the autonomous driving system
Required QualificationsEducation & Experience
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, with an expected graduation date in 2026 or early 2027.
  • Solid programming skills in C++, Python, or Go
  • End-to-end experience delivering features or services within a collaborative engineering team
Technical Skills
  • C++: Familiarity with modern C++ (C++11 and beyond), memory management, and concurrency
  • Cloud & DevOps: Basic understanding of CI/CD, containerization, and cloud platforms

Data Tools: Comfort working with structured data, APIs, and developer tooling

Bonus Qualifications
  • Experience with autonomous driving simulation tools such as Carla, LGSVL, or similar
  • Familiarity with ROS or robotics software systems
  • Background in OpenGL, OpenCV, or other graphics/image processing libraries
  • Exposure to real-time systems, fleet scheduling, or HMI design
  • Experience working on cross-platform systems or integrating complex multi-component software stacks
Soft Skills
  • Eagerness to learn and take ownership of challenging problems
  • Strong communication and collaboration skills
  • A commitment to engineering excellence, clean code, and team success

Top Skills

AWS
Azure
C++
Ci/Cd
Docker
GCP
Go
Kubernetes
Python
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The Company
HQ: Houston, TX
76 Employees
Year Founded: 2023

What We Do

We are an L4 autonomous trucking company, based in Houston, Texas. We operate our autonomous truck fleet and offer Transportation as a Service (TaaS) to our freight customers. Our team combines visionary leadership, top-tier science and engineering talents, financial and governance experts, and industry veterans to build an AI-driven autonomous trucking company. We focus on fleet operations, transforming autonomous trucking into a commercially profitable product. This blend of experience, industry maturity, and innovative technology positions us to commercialize autonomous trucking at scale.

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