Location
San Francisco, California
Compensation
$160k–$190k USD
Type
full time
Posted
1 months ago
Remote
Yes
Market range · function + seniority
p25 · target · p75 · n=800
Posted $190k · below the band
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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
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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.
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