<div><span>Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem.</span></div><div><br /></div><div><span>With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: </span><a href="http://www.waabi.ai">www.waabi.ai</a></div><div><br /></div><div><b>You will...</b></div><div><span>- Collaborate closely with autonomy and algorithm engineers to scale safe self-driving systems using an AI-first approach.</span></div><div><span>- Build standardized distributed training frameworks for research and production, drive our training towards new levels of stability and efficiency.</span></div><div><span>- Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.</span></div><div><span>- Identify and evaluate emerging technologies that can be adopted into Waabi’s training and inference frameworks, including but not limited to efficient CUDA kernels for training, quantization, model exporting and compilation for inference, etc.</span></div><div><br /></div><div><b>Qualifications:</b></div><div><span>- MS/PhD or Bachelors degree with a minimum of 6 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.</span></div><div><span>- Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.</span></div><div><span>- Experience in deep learning frameworks such as PyTorch.</span></div><div><span>- Experience across different stages of the development pipeline: data processing, distributed training and model deployment.</span></div><div><span>- Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.</span></div><div><span>- Open-minded and collaborative team player with willingness to help others.</span></div><div><span>- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.</span></div><div><br /></div><div><b>Bonus/nice to have:</b></div><div><span>- Experience in model compilation and exporting, interaction with lower level concepts like TensorRT.</span></div><div><span>- Experience in identifying when custom CUDA kernels are needed, and implementing them.</span></div><div><span>- Experience in Bazel build systems, and integrating third party packages into dev environments.</span></div><div><b><span>Perks/Benefits:</span></b></div><div><span>Waabi provides a competitive benefits package that includes:</span></div><div><span>- Competitive compensation and equity awards</span></div><div><span>- Health and Wellness benefits encompassing Medical, Dental and Vision coverage</span></div><div><span>- Unlimited Vacation</span></div><div><span>- Flexible hours and Work from Home support</span></div><div><span>- Daily drinks, snacks and catered meals (when in office)</span></div><div><span>- Regularly scheduled team building activities and social events both on-site, off-site &amp; virtually</span></div><div><span>- World-class facility that includes a gym, games room (ping pong table, video game consoles, board games,etc), multiple collaborative working spaces and a gorgeous patio!(when in office)</span></div><div><span>- As we grow, this list continues to evolve! </span></div><div><br /></div><div><span>Waabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.</span></div>