Robot Perception Engineer - Smart Robotics

About the role

As a Robot Perception Engineer on the Smart Robotics team at Bright Machines, you will be a hands-on contributor developing visual inspection solutions for our automation platform. You will work across the full pipeline—from algorithm development to production deployment—helping turn prototype inspection capabilities into reliable, high-throughput features that operate at scale across our automation lines.

Responsibilities

• Develop computer vision and deep learning algorithms for visual inspection (defect detection, classification, quality validation) and vision-based navigation (localization, visual servoing, pose estimation)
• Design data capture strategies, apply augmentation techniques, and train/fine-tune models for inspection and navigation tasks
• Build and maintain data pipelines and MLOps workflows for training, evaluation, model versioning, and production monitoring
• Collaborate with Mechanical engineers to design illumination setups and optimize imaging configurations
• Support model inference optimization for GPU deployment using CUDA, TensorRT, and related frameworks
• Harden perception solutions for production reliability and work with field teams on deployment and customer rollouts

Requirements

• BS or MS in Computer Science, Electrical Engineering, Optics, or a related field with 1–3 years in computer vision/ML
• Strong Python skills with experience in PyTorch or similar frameworks
• Solid understanding of imaging systems (cameras, sensors, optics, lighting)
• Familiarity with 3D geometry, pose estimation, and basic electronics for vision systems
• Experience with GPU inference optimization and industrial camera standards (e.g., GigE Vision, GenICam)
• Familiarity with camera sensor characteristics (rolling vs global shutter, dynamic range, noise)
• Experience with data annotation, labeling workflows, and active learning strategies
• Familiarity with robotics/vision topics (SLAM, ROS2, sensor fusion) and manufacturing/quality systems

Qualifications

• IT WOULD BE GREAT IF YOU HAD
• Experience with C/C++, MLOps tools, or data annotation workflows
• Exposure to robotics/vision topics (SLAM, ROS2, sensor fusion) and manufacturing/quality systems

Benefits

• $160,000 - $190,000 a year

Pay

• $160,000 - $190,000 a year

Schedule

• Full-time