About the role
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
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: www.waabi.ai
You will...
- Build standardized distributed training frameworks for research and production, drive our training towards new levels of stability and efficiency.
- Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.
- Identify and evaluate emerging technologies that can be adopted into Waabi’s training and inference frameworks. Examples include designing new CUDA kernels, quantization-aware training and inference, and compilation/deployment techniques.
- Work with researchers and ML engineers on best-practices for optimal resource usage.
- Create and improve tooling and dashboards to ensure broad adoption of your work.
Qualifications:
- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
- Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.
- Experience in deep learning frameworks such as PyTorch or Jax.
- Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.
- Open-minded and collaborative team player with willingness to help others.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
Bonus/nice to have:
- Experience in identifying when custom CUDA kernels are needed, and implementing them.
- Experience in Bazel in a monorepo environment, and integrating third party packages into dev environments.
- Experience with Kubernetes-based training platforms.
Aplyr's read
Waabi is advancing autonomous vehicle technology with a focus on AI-driven safety and efficiency, attracting engineers and policy experts to innovate in transportation.
What's promising
- •Waabi's focus on AI solutions aims to significantly enhance vehicle safety.
- •The company is actively hiring specialized roles, indicating growth and investment in talent.
- •Waabi's work in autonomous vehicles could revolutionize transportation efficiency.
What to watch
- •Autonomous vehicle technology faces significant regulatory and public acceptance hurdles.
- •The industry is highly competitive, with established players like Waymo and Tesla.
- •Developing reliable AI for autonomous driving is a complex and lengthy process.
Why Waabi
- •Waabi emphasizes AI-driven solutions specifically for safety in autonomous vehicles.
- •The company is building a diverse team, from engineers to policy experts.
- •Waabi's approach integrates cutting-edge AI with practical vehicle testing and operations.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Waabi
Waabi is a technology company focused on developing artificial intelligence solutions for autonomous vehicles, aiming to improve safety and efficiency in transportation.
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