Senior Robot Perception Engineer – Smart Robotics
Bright Machines
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • United States
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Job Level
About the role
- Develop and optimize visual inspection algorithms for defect detection, anomaly detection, classification, and quality validation using deep learning
- Optimize model inference for GPU deployment, leveraging CUDA, TensorRT, and related acceleration frameworks
- Collaborate with Mechanical engineers to design illumination setups that maximize inspection accuracy and robustness
- Build and maintain data pipelines for model training, evaluation, and continuous improvement
- Partner with platform team to establish MLOps practices for model versioning, experiment tracking, automated retraining, and production model monitoring
- Harden inspection solutions for production reliability, including monitoring, alerting, and graceful degradation
- Work with service engineering and field teams to deploy inspection solutions and support customer rollouts
- Define metrics and benchmarks to measure inspection accuracy, throughput, and reliability
Requirements
- MS or PhD in Computer Science, Electrical Engineering, or a related field, or the equivalent in experience with evidence of exceptional ability.
- 5+ years of relevant experience in computer vision and/or machine learning
- Strong programming skills in Python
- Deep experience with PyTorch for model development and training
- Experience optimizing ML models for GPU inference in production environments
- Track record of shipping ML/CV models from prototype to production
- Experience with image acquisition, camera systems, and sensor integration
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
deep learningvisual inspection algorithmsdefect detectionanomaly detectionmodel inference optimizationCUDATensorRTPythonPyTorchimage acquisition
Soft Skills
collaborationproblem-solvingcommunicationteamworkadaptability