Remote Perception Engineer for Autonomous Driving AI

Socket.dev; Boston (MA); On-site; USD 165,000 - 198,000; Full time

Job summary

Motional, a driverless-technology company headquartered in Boston, seeks a Perception Engineer to join a REMOTE U.S. ONLY, full-time team.

The role focuses on designing, developing and deploying perception features within our AI-driven robotics stack, driving project impact and advancing autonomous driving technology. Required are a BS or higher in CS/EE/Robotics and at least two years in automotive software, with strong Python/C++, PyTorch, GPU training, and experience in ML model deployment

Qualifications

• Bachelor’s or higher in CS/EE/Robotics or related field.
• Two years of automotive software development experience.
• Production-level software development
• Model deployment and robotics integration
• Testing and debugging algorithms
• ML applications with PyTorch
• GPU training and inference optimization
• TensorRT/CUDA, CI/CD pipelines, Git

Responsibilities

• Connect/drive project-level impact through technology solutions.
• Design, develop, implement, and fix features in codebase.
• Formulate problems, architect solutions, and design processes.
• Train and deploy new AI models.
• Analyze model performance and identify improvements.
• Research/evaluate emerging technologies to enhance AI models.
• Prototype, evaluate, implement, and iterate on solutions.

Skills

Python

C++

Machine Learning applications

Git

CI/CD pipelines

Education

Bachelor’s or higher in CS/EE/Robotics or related field

Tools

PyTorch

TensorRT/CUDA

Job description

Motional, a driverless-technology company headquartered in Boston, seeks a Perception Engineer to join a REMOTE U.S. ONLY, full-time team.

The role focuses on designing, developing and deploying perception features within our AI-driven robotics stack, driving project impact and advancing autonomous driving technology. Required are a BS or higher in CS/EE/Robotics and at least two years in automotive software, with strong Python/C++, PyTorch, GPU training, and experience in ML model deployment