PnP Optimization Engineer

Waabi, an innovative AI company founded by AI pioneer Raquel Urtasun, is revolutionizing self-driving technology. They're seeking a PnP Optimization Engineer to join their world-class team across offices in Toronto, San Francisco, Dallas, and Pittsburgh. This role combines machine learning expertise with performance optimization, requiring deep knowledge of PyTorch, CUDA, and C++.

The position involves collaborating with research scientists to optimize algorithm design, develop frameworks for mixed precision training, and ensure efficient model deployment. The ideal candidate will work on cutting-edge autonomous vehicle technology, focusing on performance optimization and implementation of deep neural network operations.

This is an excellent opportunity for someone passionate about AI and autonomous vehicles, offering a competitive salary range of $158,000 - $269,000 USD, plus equity and benefits. The company provides a flexible hybrid work environment with offices in major tech hubs, comprehensive health benefits, unlimited vacation, and a strong focus on team building and workplace culture.

Waabi stands out for its innovative approach to self-driving technology and its commitment to diversity and inclusion. They're backed by top-tier investors and are rapidly growing their team of talented professionals who want to make a positive impact on the world through revolutionary autonomous vehicle technology.