Software Engineer, Simulation & Reinforcement Learning

About Bot Auto Bot Auto develops autonomous trucking technology. Our Simulation team builds software used to train and evaluate autonomous driving systems. We are looking for a software engineer with C++ and CUDA experience to develop GPU-accelerated simulation software and improve reinforcement learning training efficiency. You will 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 and GPU execution, memory usage, and data transfer. - Develop tests and benchmarks to measure correctness, performance, and reproducibility. - Collaborate with data, planning, and machine learning engineers on implementation, design discussions, and code reviews. Required Qualifications - Bachelor's or Master's degree in Computer Science, Computer Engineering, Robotics, Electrical Engineering, or a related field, or equivalent practical experience. - Strong programming skills in C++, including data structures, algorithms, and object-oriented programming. - Experience with CUDA and GPU programming, including an understanding of GPU parallel execution and memory management. - Understanding of parallel and concurrent programming concepts, including multithreading and synchronization. - Familiarity with Python for scripting, testing, or machine learning workflows. - Understanding of reinforcement learning concepts, including environments, agents, actions, rewards, and 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 machine learning framework. - Experience with simulation, robotics, game engines, physics, computational geometry, or high-performance computing. - 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.