Bright Machines
Senior Robot Perception Engineer - Visual Inspection/MLOps
$190K–$235K
Burlingame, California · Hybrid · Senior · Full-time · Posted Mar 23, 2026
- Experience
- 5+ years of relevant experience in computer vision and/or machine learning.
- Education
- MS or PhD in Computer Science, Electrical Engineering, or a related field, or the equivalent in experience with evidence of exceptional ability.
About the job
Productize visual inspection for Bright Machines’ automation platform, developing and deploying computer vision and deep learning solutions for factory production.
What you'll do
- Develop and optimize inspection models for defect and anomaly detection, classification, and quality validation; optimize GPU inference.
- Build training and evaluation data pipelines and establish MLOps practices for model versioning, retraining, and production monitoring.
- Collaborate on inspection system design and lighting, deploy solutions, and define metrics for accuracy, throughput, and reliability.
What they ask for
- 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 production GPU inference and shipping ML/CV models from prototype to production.
Nice to have
- Knowledge of machine-vision lighting and optics; experience with industrial camera systems and standards.
- Experience with C/C++, MLOps tooling, data annotation and active learning, ROS2, or manufacturing quality control.
Pay
USD 190,000–235,000 per-year-salary; base salary
Tools
Python, PyTorch, CUDA, TensorRT, GigE Vision, GenICam, CoaXPress, ROS2
AI focus
Develop and deploy deep learning and computer vision models for automated factory inspection, including defect and anomaly detection, classification, visual validation, and continuous improvement.
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