Senior ML Onboard Optimization Engineer — Remote & Flexible

Waabi; United States; On-site; USD 141,000 - 249,000; Full time

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.