RETHINK MANUFACTURING
The only way to ignite change is to build the best team. At Bright Machines®, we’re innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers’ unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next.
Working with us means you’ll have the opportunity to make lasting, impactful changes for our company and our customers. If you’re ready to apply your exceptional skills to create the factory of the future, we’d love to speak with you.
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. In this role, you will develop and optimize computer vision and deep learning models for defect detection, classification, and visual validation. You will collaborate closely with cross-functional teams, including Mechanical Engineering and Manufacturing Operations, to build end-to-end inspection solutions that deliver consistent, accurate results under real-world factory conditions.
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
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
Familiarity with image acquisition, camera systems, and sensor integration
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)
Exposure to C/C++, MLOps tools, or data annotation workflows
Experience with data annotation, labeling workflows, and active learning strategies
Familiarity with robotics/vision topics (SLAM, ROS2, sensor fusion) and manufacturing/quality systems
BE EMPOWERED TO CHANGE AN INDUSTRY
Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers and leading Original Equipment Manufacturers (OEMs). With its new AI factory, Bright Machines addresses increasing market demands for computing power due to the surge of AI and the U.S. national mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time-to-market.
Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes’ AI 50, awarded “Best AI-based Solution for Manufacturing” by AI Breakthrough, named a “Technology Pioneer” by the World Economic Forum, and highlighted by several other leading technology and innovation organizations.
Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers and leading Original Equipment Manufacturers (OEMs). With its new AI factory, Bright Machines addresses increasing market demands for computing power due to the surge of AI and the U.S. national mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time-to-market.
