We are building the next generation of autonomous trucking technology to make freight transportation safer, more efficient, and more scalable.
Our Simulation team develops the virtual environments, testing infrastructure, and AI-driven simulation systems that enable rapid development and validation of autonomous driving software. We leverage large-scale simulation, synthetic data generation, reinforcement learning environments, and emerging world-model technologies to accelerate autonomy development.
We are seeking a software engineer with strong C++ expertise and a passion for building scalable simulation systems. This role offers the opportunity to work at the intersection of autonomous driving, simulation, robotics, and AI.
- Design and develop high-performance simulation infrastructure for autonomous vehicle development and validation
- Build scalable systems for scenario generation, simulation execution, and evaluation
- Develop simulation tooling used by Perception, Prediction, Planning, and Controls teams
- Improve simulation realism, scalability, and operational efficiency
- Collaborate across teams to support testing, validation, and development workflows
- Build infrastructure supporting reinforcement learning and closed-loop evaluation workflows
- Develop systems for synthetic data generation and automated scenario creation
- Collaborate with ML engineers and researchers to integrate learned models into simulation environments
- Explore emerging approaches in world modeling, agent simulation, and Physical AI
- Write production-quality C++ and Python code
- Participate in architecture and technical design discussions
- Build reliable, maintainable, and well-tested systems
- Contribute to code reviews and engineering best practices
- Create clear technical documentation for systems and tools
- Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field
- 3+ years of professional software development experience
- Strong expertise in modern C++ (C++17 or newer preferred)
- Experience designing and developing production software systems
- Strong understanding of:
- Multithreading and concurrency
- Memory management
- Performance optimization
- Software architecture and system design
- Experience working with simulation, robotics, gaming, or autonomous systems
- Experience with simulation platforms such as:
- CARLA
- Isaac Sim
- Unreal Engine
- Familiarity with reinforcement learning concepts and workflows
- Experience with agent-based simulation or closed-loop simulation systems
- Experience building synthetic data generation pipelines
- Experience with ROS or ROS2
- Experience with cloud-native infrastructure such as Docker, Kubernetes, AWS, or GCP
- Familiarity with machine learning infrastructure and large-scale data processing systems
- Experience in autonomous driving or robotics applications
- Experience with multi-agent simulation systems
- Familiarity with world models, generative simulation, or Physical AI technologies
- Experience with sensor simulation, including camera, lidar, or radar
- Experience with physics engines and real-time systems
- Experience with CUDA, OpenGL, Vulkan, or graphics programming
- Strong software engineering fundamentals
- Systems-thinking mindset and attention to detail
- Curiosity about simulation, AI, robotics, and autonomous systems
- Ability to work across simulation, infrastructure, and machine learning domains
- Comfortable working in a fast-paced environment with evolving technical challenges
- Passion for building the next generation of intelligent simulation platforms
