Software Engineer, Simulation & Reinforcement Learning
Botauto · Houston, TX
About this role
## About Bot Auto Bot Auto develops autonomous trucking technology. Our Simulation team builds software used to train and evaluate autonomous driving systems. We’re looking for a software engineer with **C++** and **CUDA** experience to develop **GPU-accelerated simulation software** and improve **reinforcement learning training efficiency**. You’ll work with **data, planning, and machine learning engineers** on simulation and training infrastructure for autonomous trucking. --- ## What You’ll Do - Build **GPU-accelerated simulation software** for autonomous driving and reinforcement learning. - Improve the **throughput of parallel simulation workloads** and their integration with training workflows. - Profile simulation and training workloads, and optimize **CPU/GPU execution**, **memory usage**, and **data transfer**. - Develop **tests and benchmarks** to measure correctness, performance, and reproducibility. - Collaborate with cross-functional teams on implementation, design discussions, and code reviews. --- ## Required Qualifications - Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Robotics, Electrical Engineering, or related field (or equivalent practical experience). - Strong programming skills in **C++** (data structures, algorithms, OOP). - Experience with **CUDA** and **GPU programming** (parallel execution and memory management). - Understanding of **parallel/concurrent programming** (multithreading and synchronization). - Familiarity with **Python** for scripting, testing, or ML workflows. - Understanding of **reinforcement learning** concepts (environments, agents, actions, rewards, training workflows). - Experience developing and debugging software in **Linux**. - Strong problem-solving skills and ability to work collaboratively across teams. --- ## Preferred Qualifications - Experience profiling or optimizing **C++ applications**, **GPU workloads**, or **machine learning pipelines**. - Familiarity with **PyTorch** (or another ML framework). - Experience with simulation/robotics/game engines/physics/computational geometry/HPC. - Experience optimizing **GPU kernels** or **multi-GPU** workloads. - Exposure to **batched environments**, **multi-agent systems**, or **distributed training**. - Experience with testing tools, **Git**, and collaborative software development.
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