Senior / Staff ML Onboard Optimization Engineer
waabi· Autonomy & Algorithms
About this 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...
- Collaborate closely with autonomy and algorithm engineers to scale safe self-driving systems using an AI-first approach.
- Expand the model deployment pipeline to new GPUs and embedded systems for the next generation of our onboard compute system.
- Use frameworks such as TensorRT and modelopt to optimize the models running on the truck.
- Create and benchmark new CUDA kernels for inference.
- Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.
Qualifications:
- 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.
- Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.
- Experience in deep learning frameworks such as PyTorch.
- Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.
- Experience with Nvidia embedded platforms such as Nvidia Jetson or Thor.
- 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 model compilation and exporting, interaction with lower level concepts like TensorRT.
- Experience in identifying when custom CUDA kernels are needed, and implementing them.
- Experience in Bazel build systems, and integrating third party packages into dev environments.
Frequently Asked Questions
Is the salary disclosed for the Senior / Staff ML Onboard Optimization Engineer position at waabi?
The salary for this Senior / Staff ML Onboard Optimization Engineer role at waabi is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Is the Senior / Staff ML Onboard Optimization Engineer job at waabi remote?
Yes, this Senior / Staff ML Onboard Optimization Engineer position at waabi is remote, with team members based in Remote US & Canada. You can work from home or anywhere in the supported regions.
Is the Senior / Staff ML Onboard Optimization Engineer role at waabi full-time or part-time?
This is listed as a Full time position. It is posted as a Senior / Staff ML Onboard Optimization Engineer role in the Autonomy & Algorithms department at waabi.
Which team or department does the Senior / Staff ML Onboard Optimization Engineer at waabi belong to?
This Senior / Staff ML Onboard Optimization Engineer position is part of the Autonomy & Algorithms department at waabi. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Senior / Staff ML Onboard Optimization Engineer position at waabi?
Click the "Apply Now" button on this page. You will be redirected to waabi's official application portal hosted on lever where you can submit your application directly.
When was the Senior / Staff ML Onboard Optimization Engineer job at waabi posted?
This Senior / Staff ML Onboard Optimization Engineer position at waabi was posted on Apr 24, 2025. Apply as soon as possible — early applications are often reviewed first.
Senior / Staff ML Onboard Optimization Engineer
waabi
You'll be redirected to waabi's official application page on Lever.