Machine Learning Onboard Engineer at Waabi (Calgary)

Waabi seeks a Machine Learning Onboard Optimization Engineer to scale self-driving systems using an AI-first approach. Join a world-class team in this exciting role focused on standardizing training frameworks. As an integral member of Waabi in Toronto, you will collaborate with engineers to enhance self-driving technology. This senior role requires strong experience in deep learning frameworks, algorithm development, and model profiling. You will drive improvements in stability and efficiency, unlocking the full potential of AI for safer driving. Key Responsibilities: - Collaborate with engineers on self-driving systems - Build distributed training frameworks for stability - Profile runtime and memory to identify bottlenecks - Evaluate recent technologies for training and inference - Implement effective CUDA kernels and optimizations Requirements: - MS/PhD degree with at least 6 years of experience - Proficiency in Python, C++, or Rust - Experience with PyTorch and deep learning frameworks - Knowledge of CPU/GPU profiling tools - Passion for self-driving technology and innovative solutions Drive innovation in self-driving technologies with Waabi, leveraging a strong background in machine learning and coding skills. Apply on Kit Job: kitjob.ca/job/2pr4ww