Senior Robot Perception Engineer Visual Inspection MLOps
Bright Machines is a San Francisco-based AI-enabled manufacturer that uses robotics, software, and production data to assemble AI and data-center infrastructure.
About Bright Machines
Bright Machines operates the Bright Factory manufacturing platform, combining virtual product development, AI-enabled robotics, and factory intelligence for data-center infrastructure assembly and traceability.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will develop, optimize, and deploy visual-inspection algorithms and deep-learning models for production automation. You will build training and evaluation data pipelines, optimize GPU inference, establish MLOps practices, monitor deployed models, design inspection metrics, and support customer rollouts.
Requirements
- MS or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent experience
- 5+ years of computer vision or machine learning experience
- Python programming skills
- PyTorch experience
- Experience optimizing ML models for production GPU inference
- Experience shipping ML or computer-vision models to production
- Experience with image acquisition, camera systems, and sensor integration
Responsibilities
- Develop and optimize visual-inspection algorithms for defect detection, anomaly detection, classification, and quality validation
- Optimize model inference for GPU deployment using CUDA and TensorRT
- Collaborate on illumination setups for inspection accuracy and robustness
- Build and maintain data pipelines for model training, evaluation, and improvement
- Establish MLOps practices for model versioning, experiment tracking, retraining, and monitoring
- Harden inspection solutions through monitoring, alerting, and graceful degradation
- Deploy inspection solutions and support customer rollouts
- Define metrics and benchmarks for inspection accuracy, throughput, and reliability
