Autonomous Perception Engineer

Motional; Boston (MA); Remote; USD 165,000 - 198,000; Full time

Benefits offered by this job

Employee referral program

Job summary

Motional, headquartered in Boston, MA, is hiring engineers to advance perception for autonomous vehicles. The role focuses on developing computer vision and ML solutions, integrating models with on-car software, and building production-grade perception features using Python and C++.

Ideal candidates bring a BS in CS/EE, at least two years in automotive software, experience with robotics integration, ML, PyTorch, GPU acceleration, and CI/CD.

Qualifications

• Requires Bachelor's in CS, EE, or related field.
• Two years of automotive software dev experience.
• Experience: robotics integration/validation.
• Experience: testing/debugging algorithms.
• Experience: ML applications.
• Proficient in Python.
• Proficient in C++.
• Proficient in PyTorch.
• Experience with GPU training.
• Experience with acceleration/inference optimization.
• Familiar with TensorRT/CUDA.
• Familiar with CI/CD pipelines.
• Familiar with Git.

Responsibilities

• Develop CV/ML solutions for autonomous perception.
• Design and debug features in production perception software.
• Integrate perception algorithms with on-car software.
• Architect data workflows from sensors for ML training.
• Design evaluation processes and testing tools for reliability.
• Collaborate to drive project impact.
• Design, develop, and fix features in codebase.
• Formulate problems and architect solutions.
• Train and deploy AI models.
• Analyze model performance and identify improvements.
• Research emerging technologies to improve models.
• Prototype, evaluate, implement, iterate on solutions.

Education

Bachelor’s in Computer Science, Electrical Engineering, or related field

Tools

Python

C++

PyTorch

TensorRT/CUDA

Git

CI/CD pipelines

GPU training

Machine learning applications

Job description

Motional, headquartered in Boston, MA, is hiring engineers to advance perception for autonomous vehicles. The role focuses on developing computer vision and ML solutions, integrating models with on-car software, and building production-grade perception features using Python and C++.

Ideal candidates bring a BS in CS/EE, at least two years in automotive software, experience with robotics integration, ML, PyTorch, GPU acceleration, and CI/CD.