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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing complex computer vision systems, with a strong focus on algorithm development for real-time performance on embedded platforms. Proficient in Python and C++, with hands-on experience in cloud services integration and optimizing machine learning models.
Highest-signal resume keywords
Computer Vision Algorithm DevelopmentDeep Learning Frameworks (PyTorch, TensorFlow)Embedded Systems ProgrammingCloud Services (AWS, SageMaker, Lambda)Technical Leadership and Mentoring
ATS Keywords
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Hard Skills
Python ProgrammingC++ ProgrammingMachine LearningDeep LearningAlgorithm OptimizationComputer VisionModel CompressionReal-Time Performance TuningObject DetectionSegmentation
Soft Skills
CollaborationMentoringProblem Solving
Tools & Technologies
AWS (EC2, S3, RDS)DockerKubernetesCI/CDTerraform
Industry Keywords
U.S. Export Administration RegulationsAI ModelsEdge ProcessingAutomated DeploymentActive Learning Pipelines
Tech Stack
Tools & technologiesAWSCloudDockerEC2KubernetesPythonPyTorchTensorflowTerraformC++
About the role
Key responsibilities & impact- Design and implement complex computer vision systems
- Build and improve algorithms for edge processing
- Implement cloud services and integrate them into end-to-end product features
- Evaluate and improve the performance of existing models and algorithms in production
- Conduct research and execute experiments to build new AI models and algorithms
- Build and optimize CV/ML algorithms for real-time performance on embedded platforms and next-generation AI dashcams
- Write Python and C++ code for CV algorithms, ML services, training, model compression, and porting pipelines
- Convert state-of-the-art research prototypes into reliable product features
- Collaborate with Embedded, Backend, Frontend, Hardware, QA, and broader AI teams
- Solve object detection, segmentation, recognition, and geometric computer vision problems
- Build automated deployment, validation, and active learning pipelines
- Mentor junior engineers and provide technical leadership on complex projects
Requirements
What you’ll need- Bachelor's Degree in Computer Science, Electrical Engineering, or related field
- 5+ years of algorithm development experience in Computer Vision, Deep Learning, and Machine Learning
- Solid mathematical foundation in Computer Vision, Deep Learning, Machine Learning, and optimization approaches
- Hands-on experience with training frameworks and tools (PyTorch | TensorFlow)
- Strong experience in Python or C++
- Hands-on experience building embedded algorithms and applications
- Experience with AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes is a plus
- Prior experience optimizing and deploying ML models on embedded devices is a strong plus
- Applicant must be authorized to receive and access commodities and technologies controlled under U.S. Export Administration Regulations
Benefits
Comp & perks- Some interviews or new-hire training sessions may be held in person at one of Motive's global offices
- Equal opportunity employer committed to a diverse and inclusive workplace