Senior / Staff ML Training Optimization Engineer
Remote US & Canada
- Pay
$141,000–249,000/yearLocation-specific pay — pay source
Experience with Kubernetes-based training platforms. The US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:
Read the full posting- Work setting
Working pattern needs review — work setting source
Listed location: Remote US & Canada
Work setup in the employer’s posting: hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingBuild standardized distributed training frameworks for research and production
Profile model runtime and memory to find performance bottlenecks
Evaluate emerging techniques such as custom CUDA kernels and quantization for adoption
Advise researchers and ML engineers on best practices for resource usage
Create and improve tooling and dashboards for broad team adoption
From the employer’s posting
Build standardized distributed training frameworks for research and production
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.
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.
What you’ll bring
All qualificationsCore experience
- Experience in deep learning frameworks such as PyTorch or Jax.
- 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.
Qualification wording
Experience in deep learning frameworks such as PyTorch or Jax.
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.
Education & alternatives
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.
Tools in this posting
- C++
- Python
- Rust
- Kubernetes
- PyTorch
Source — Tool mentions in context
- 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.
- Experience in Bazel in a monorepo environment, and integrating third party packages into dev environments. - Experience with Kubernetes-based training platforms. The US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
- 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.
- 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.
Posting record
Report an errorOpen 5 monthsWe first saw this posting 174 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- May 8, 2026 · 174 days ago
- Recorded sightings
- 83
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Already applied? Track this application
Job description
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.
The US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
Waabi provides a competitive benefits package that includes:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage.
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- 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)
- As we grow, this list continues to evolve!
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.
Employment type
Full-time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Experience with Kubernetes-based training platforms. The US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:
- Location & working pattern
Remote US & Canada
- Daily drinks, snacks and catered meals (when in office). - Regularly scheduled team building activities and social events both on-site, off-site & virtually. - 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)
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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