Senior / Staff ML Training Optimization Engineer

Waabi; Toronto; Presencial; CAD 120.000 - 160.000; Jornada completa

Descripción de la vacante

Waabi is seeking a highly capable engineer to advance distributed training and model profiling for autonomous driving research and production systems. You will profile CPU/GPU performance, identify bottlenecks, and explore new CUDA kernel optimizations and deployment techniques.

You will work with researchers and ML engineers to implement best practices for resource utilization, build tools, and dashboards to broaden adoption across the team and platforms.

Formación

• MS/PhD or a Bachelor's with 4+ years of industry experience in CS, Robotics or similar.
• Solid coding proficiency in Python, C++ or Rust.
• Experience with PyTorch or JAX for deep learning models.
• Profiling CPU/GPU code with PyTorch Profiler, Nsight or similar tools.

Responsabilidades

• Build standardized distributed training frameworks for research and production, improving stability and efficiency.
• Profile model runtime and memory to identify performance bottlenecks.
• Evaluate emerging technologies to enhance training and inference (e.g., CUDA kernels, quantization, compilation/deployment).
• Collaborate with researchers and ML engineers on best practices for resource usage.
• Create tooling and dashboards to enable broad adoption of your work.

Conocimientos

Python

C++

Rust

PyTorch

JAX

Educación

MS/PhD or Bachelor's with 4+ years industry experience in CS/Robotics

Herramientas

NVIDIA Nsight

Bazel

Kubernetes

Descripción del empleo

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.