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Perception Engineer
MotionalPerception Engineer training and deploying AI models for Motional, a driverless technology company. Improving autonomous-vehicle perception through robotics software, model optimization, and emerging technologies.
Posted 8/4/2026full-timeRemote • Massachusetts • 🇺🇸 United StatesJuniorMid-Level💰 $190,000 - $244,800 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in software development for automotive applications, with a strong focus on machine learning model deployment, performance analysis, and optimization. Proficient in Python and C++, with experience in CI/CD pipelines and robotics integration.
Highest-signal resume keywords
Machine Learning ApplicationsModel Deployment ExperiencePython ProgrammingC++ ProgrammingCI/CD Pipelines
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software DevelopmentTesting and Debugging AlgorithmsIntegration and Validation for RoboticsAcceleration and Inference OptimizationGPU TrainingPyTorchTensorRTCUDAProduction-Level Software DevelopmentAI Model Training
Tools & Technologies
GitCI/CD PipelinesPyTorchTensorRTCUDA
Industry Keywords
Automotive IndustryRoboticsAI ModelsEmerging TechnologiesProject-Level Impact
Tech Stack
Tools & technologiesPythonPyTorch
About the role
Key responsibilities & impact- Connect/drive project-level impact through technology solutions
- Design, develop, implement, and fix features in the codebase
- Formulate problems, architect solutions, and design processes
- Train and deploy new AI models
- Analyze model performance and identify improvements
- Research and evaluate emerging technologies to enhance AI models
- Prototype, evaluate, implement, and iterate on solutions
Requirements
What you’ll need- 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
- Production-level software development experience
- Model deployment experience
- Integration and validation for robotics
- Testing and debugging algorithms
- Machine learning applications
- Python
- C++
- PyTorch
- GPU training
- Acceleration and inference optimization
- TensorRT/CUDA
- CI/CD pipelines
- Git
Benefits
Comp & perks- Medical insurance
- Dental insurance
- Vision insurance
- 401k with a company match
- Health saving accounts
- Life insurance
- Pet insurance
- Potential bonus or company equity
- E-Verify employment eligibility verification