Autonomous Perception Engineer – Vision & ML

motional; United States; Remote; USD 165,000 - 198,000; Full time

Benefits offered by this job

Employee referral program

Job summary

Motional, a driverless technology company, is seeking engineers to develop computer vision and ML solutions for autonomous vehicle perception systems. You will implement features in production perception software using Python and C++, integrate algorithms with on-car software, and design data workflows for multi-sensor training and evaluation.

Requires a Bachelor's degree in CS or EE and 2 years in automotive software.

Qualifications

• Requires Bachelor's in Computer Science, Electrical Engineering, or a closely related technical field.
• Two years of industry experience in automotive industry software development.
• Experience must include production-level software development, model deployment, robotics integration and validation, testing/debugging algorithms, and ML applications.
• Proficiency in Python and C++, plus PyTorch; GPU training and optimization with TensorRT/CUDA.
• Familiarity with CI/CD, Git.

Responsibilities

• Develop computer vision and ML solutions for autonomous vehicle perception systems.
• Design, develop, and debug features in perception software using Python and C++.
• Integrate perception algorithms with on-car software and data from sensors.
• Architect data workflows and train ML models across cameras and LiDAR.
• Create evaluation processes and testing tools to measure performance and safety.
• Prototype, evaluate, and iterate on AI solutions; deploy models.
• Analyze model performance and identify improvements.

Skills

Production-level development

Model deployment

Robotics integration

Testing & debugging

Machine learning applications

Python

C++

PyTorch

GPU training

TensorRT/CUDA

CI/CD pipelines

Git

Education

Bachelor's in Computer Science or Electrical Engineering

Tools

CUDA

TensorRT

Job description

Motional, a driverless technology company, is seeking engineers to develop computer vision and ML solutions for autonomous vehicle perception systems. You will implement features in production perception software using Python and C++, integrate algorithms with on-car software, and design data workflows for multi-sensor training and evaluation.

Requires a Bachelor's degree in CS or EE and 2 years in automotive software.