Senior Robot Perception Engineer - Visual Inspection/MLOps
Bright Machines7 months ago
Base Salary
$190k - $235k/yr
Responsibilities
- Develop and optimize deep learning-based visual inspection algorithms for defect detection, anomaly detection, classification, and quality validation.
- Optimize model inference for GPU deployment using CUDA, TensorRT, and related acceleration frameworks.
- Collaborate with Mechanical Engineering on illumination, camera, sensor, lighting, and optics solutions.
- Build and maintain data pipelines for model training, evaluation, and continuous improvement.
- Establish MLOps practices for model versioning, experiment tracking, automated retraining, and production monitoring.
- Harden inspection solutions for production reliability through monitoring, alerting, and graceful degradation.
- Deploy inspection solutions and support customer rollouts with service engineering and field teams.
- Define metrics and benchmarks for inspection accuracy, throughput, and reliability.
Requirements
- MS or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent experience with evidence of exceptional ability.
- At least 5 years of relevant computer vision and/or machine learning experience.
- Strong Python programming skills.
- Deep experience with PyTorch for model development and training.
- Experience optimizing machine learning models for production GPU inference.
- Track record of shipping machine learning or computer vision models from prototype to production.
- Experience with image acquisition, camera systems, and sensor integration.
Categories
ML EngineeringRobotics
About Bright Machines
Bright Machines builds and operates programmable robotics and software to automate assembly of AI and data center hardware, including servers. It provides automation-enabled contract manufacturing for hyperscalers, neocloud providers, and OEMs through its Bright Factory model that integrates design intelligence and real-time production data. Founded in 2018 and headquartered in San Francisco, the privately held company also runs an integration center in Guadalajara, Mexico.