This position is no longer accepting applications. The listing was closed on 7/14/2026. Browse open roles at Bright Machines.

Robot Perception Engineer - Smart Robotics

at Bright Machines

Location

San Francisco, California

Compensation

$160k–$190k USD

Type

full time

Posted

3 months ago

Remote

Yes

Job description

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 manufacture the AI and data center infrastructure at the edge. We believe unifying software, intelligent automation, and data is the answer to delivering quality and flexibility at scale. We deliver products to meet the demands of today while continuously investing in our Bright Factory model 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 a brighter way of manufacturing AI infrastructure, we’d love to speak with you.

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. 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.

WHAT YOU WILL BE DOING

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

WHAT YOU WILL BRING

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

IT WOULD BE GREAT IF YOU HAD

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 production. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers, neoclouds, and leading Original Equipment Manufacturers (OEMs) to reduce their time to revenue. With its Bright Factory model, Bright Machines builds higher quality data center infrastructure at scale, addresses increasing market demands for computing power due to the surge of AI, and answers the call to the U.S. national mandate to reshore manufacturing.

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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