Intern, Software Engineer-Autonomous Driving Platform
About The Position
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.
Requirements
- 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
- 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
Nice To Haves
- 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
- Eagerness to learn and take ownership of challenging problems
- Strong communication and collaboration skills
- A commitment to engineering excellence, clean code, and team success
Responsibilities
- 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
- 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
- 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
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What This Job Offers
Career Level
Intern
