MachineLearningInfrastructureEngineerIntern

## Description PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. Ready to get hands-on with real-world, large-scale data challenges? We’re seeking a Machine Learning Infrastructure Engineer Intern to join us in a project that focuses on identifying the bottlenecks and implementing high-performance custom kernels (using CUDA, Triton, or C++) to accelerate BEV model training. Uniquely, this internship will also explore the utilization of LLMs (Large Language Models) to assist in high-performance code generation, kernel optimization, and automated performance profiling with Nsight and Pytorch profiler ## Responsibilities Identify Training Bottlenecks: Profile and analyze Bird's Eye View (BEV) model training pipelines to pinpoint computational and memory bottlenecks. Develop Custom Kernels: Design and implement high-performance custom compute kernels using CUDA, Triton, or C++ to accelerate the model training process. Leverage LLMs for Optimization: Explore and integrate Large Language Models (LLMs) to assist in generating high-performance code and optimizing kernel logic. Automate Profiling Workflows: Build systems to automate performance profiling and analysis using tools like NVIDIA Nsight and the PyTorch Profiler. Iterative Performance Tuning: Continuously analyze profiling data generated by both human and LLM-assisted workflows to maximize GPU utilization and reduce training times. ## Required