Senior ML Onboard Optimization Engineer — Remote & Flexible

Waabi

United States

On-site

USD 141,000 - 249,000

Full time

14 days+
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Benefits offered by this job

Competitive compensation and equity awards
Health and Wellness benefits
Unlimited Vacation
Flexible hours and Work from Home support
Daily drinks, snacks, and catered meals
Regular team building activities
World-class facilities including gym and games room

Job summary

Waabi, located in the United States, seeks experienced AI and robotics professionals to enhance self-driving technologies. The role involves collaboration on model deployment and optimization, utilizing advanced coding skills across various platforms.

The ideal candidate will have a strong technical background and be passionate about developing innovative solutions in autonomous transportation. Competitive compensation along with equity awards and comprehensive benefits are offered.

Qualifications

  • Minimum of 6 years of industry experience in relevant technical fields.
  • Experience in optimization using frameworks like TensorRT.
  • Skilled in model compilation and integration with development environments.

Responsibilities

  • Collaborate with engineers to scale self-driving systems.
  • Expand model deployment pipeline for onboard compute systems.
  • Create and benchmark new CUDA kernels for inference.

Skills

Coding proficiency in Python, C++, or Rust
Experience with deep learning frameworks (e.g., PyTorch)
Profiling CPU and GPU code
Collaboration and teamwork
Passion for self-driving technologies

Education

MS/PhD or Bachelor's degree in Computer Science, Robotics, or related field

Tools

CUDA
NVIDIA Nsight
Nvidia Jetson

Job description

Waabi, located in the United States, seeks experienced AI and robotics professionals to enhance self-driving technologies. The role involves collaboration on model deployment and optimization, utilizing advanced coding skills across various platforms.

The ideal candidate will have a strong technical background and be passionate about developing innovative solutions in autonomous transportation. Competitive compensation along with equity awards and comprehensive benefits are offered.

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