Waabi
Senior / Staff Perception Software Engineer
$158K–$269K
Remote US & Canada +5 · Hybrid · Staff · Full-time · Posted Apr 27, 2023
- Location
- Remote US & Canada
Dallas, TX
Phoenix, AZ
Pittsburgh, PA
San Francisco, CA
Toronto, ON - Experience
- Minimum 4 years of industry experience for candidates with a Bachelor’s degree; an MS or PhD is also accepted, with no years specified for those degrees.
- Education
- MS/PhD or Bachelor’s degree in Computer Science, Machine Learning, and/or a similar technical field of study.
About the job
Develops, validates, and deploys perception algorithms for self-driving vehicles, including 3D traffic-agent detection and tracking and traffic-scene understanding.
What you'll do
- Prototype and evaluate perception algorithms using real-world data and simulations, improving accuracy, robustness, and safety.
- Help productize and deploy perception algorithms, working with platform and multidisciplinary teams to integrate them into the self-driving system.
- Write tested, high-quality code and contribute to research publications and technical communication.
What they ask for
- Degree in Computer Science, Machine Learning, or a similar technical field, with the stated experience alternative.
- Experience with applied research and shipping machine-learning features or models into production.
- Experience driving projects in 3D detection, traffic-agent tracking, and/or semantic understanding of traffic scenes.
- Proficiency in Python and strong foundations in machine learning, computer vision, and computing fundamentals.
Nice to have
- Experience in multimodal sensor fusion or self-driving technology.
- Publications in top-tier conferences or journals; experience with PyTorch, Rust, C++, and/or CUDA.
Pay
$158,000 - $269,000 USD (base salary)
Tools
Python, PyTorch, Rust, C++, CUDA
AI focus
Applies machine learning, deep learning, and computer vision to self-driving perception, including 3D detection, tracking, and semantic scene understanding.
Model-written summary · the original posting is authoritative