Remote Perception Engineer — AI & Robotics

Motional

United States

Remote

USD 190,000 - 245,000

Full time

14 days+

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Benefits offered by this job

medical
dental
vision
401k with a company match
health saving accounts
life insurance
pet insurance

Job summary

Motional is hiring a Perception Engineer in Boston with remote U.S. eligibility. You will design and implement perception software, train AI models, and deploy them to improve autonomous driving capabilities. The role demands hands-on development, ML deployment, and rigorous validation in a robotics context.

Applicants should have a CS/EE/Robotics degree and 2+ years in automotive software. Expect collaboration across teams, CI/CD workflows, and performance optimization for real-time systems.

Qualifications

  • Requires Bachelor's or higher in Computer Science, Electrical Engineering, Robotics, or a closely related technical field.
  • Two years of industry experience in automotive industry software development.
  • Two+ years in automotive software; production-grade software, ML applications, Python, C++, PyTorch, CUDA, CI/CD, 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++
PyTorch
TensorRT/CUDA
GPU training
CI/CD pipelines
Git
Machine learning applications
Model deployment
Robotics software development
Testing and debugging

Education

Bachelor's or higher in CS/EE/Robotics

Tools

CUDA

Job description

Motional is hiring a Perception Engineer in Boston with remote U.S. eligibility. You will design and implement perception software, train AI models, and deploy them to improve autonomous driving capabilities. The role demands hands-on development, ML deployment, and rigorous validation in a robotics context.

Applicants should have a CS/EE/Robotics degree and 2+ years in automotive software. Expect collaboration across teams, CI/CD workflows, and performance optimization for real-time systems.

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