3 months ago
Responsibilities
- 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 for perception, prediction, planning, and controls teams.
- Improve simulation realism, scalability, and operational efficiency.
- Build infrastructure for reinforcement learning and closed-loop evaluation workflows.
- Develop synthetic data generation and automated scenario creation systems.
- Integrate learned models into simulation environments with ML engineers and researchers.
- Write production-quality C++ and Python code and contribute to architecture, technical design, code reviews, testing, and documentation.
Requirements
- Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field.
- At least 3 years of professional software development experience.
- Strong expertise in modern C++, with C++17 or newer preferred, and production software systems development.
- Strong understanding of multithreading and concurrency, memory management, performance optimization, software architecture, and system design.
- Experience with simulation, robotics, gaming, or autonomous systems.
- Experience with simulation platforms such as CARLA, Isaac Sim, or Unreal Engine is preferred.
- Familiarity with reinforcement learning, agent-based or closed-loop simulation, synthetic data generation pipelines, ROS or ROS2, cloud-native infrastructure, machine learning infrastructure, and large-scale data processing is preferred.
- Experience with autonomous driving or robotics, multi-agent simulation, world models, generative simulation, sensor simulation, physics engines, real-time systems, CUDA, OpenGL, Vulkan, or graphics programming is a plus.
Tech Stack
Categories
BackendRobotics
About Bot Auto
Bot Auto runs autonomous trucks out of Houston, Texas. We sell the capacity, not the technology. We own the trucks, the safety case, and the operation end to end. Our team pairs trucking operators who've run real fleets with the engineers building the technology because commercializing this industry takes both. We're not chasing a demo. We're building the freight network the industry actually needs.