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Senior / Staff ML Training Optimization Engineer

Waabi· Software – Autonomy & Algorithms
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Hybrid (Remote US & Canada (hybrid))$141k - $249kFull-timePosted 5mo ago

About the role

Waabi seeks a senior staff-level ML training optimization engineer to build and optimize distributed training frameworks, profile runtime performance, evaluate emerging technologies, and collaborate with researchers and ML engineers to improve resource usage and tooling.

Responsibilities

  • Build standardized distributed training frameworks for research and production, drive training 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 (e.g., designing new CUDA kernels, quantization-aware training and inference, 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 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.

Skills

Required:Distributed training frameworksModel runtime and memory profilingPyTorchPythonC++ or RustProfiling tools
Nice to have:CUDA kernel design / CUDA programmingQuantization-aware training and inferenceCompilation/deployment techniques

Benefits

  • 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, multiple collaborative working spaces and a patio (when in office).
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Waabi

pioneering Physical AI, starting with autonomous trucks.

Waabi is pioneering Physical AI, starting with autonomous trucks. We developed a next-generation approach leveraging an end-to-end interpretable and verifiable AI model that’s powered by the industry's most realistic neural simulator. This dramatically reduces the development time and resources needed to bring self-driving vehicles to public roads — safely and at scale.

Autonomous trucksPhysical AIneural simulatorAI modelself-driving vehicles
Company profileWebsite

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