Senior Robot Perception Engineer - Visual Inspection/MLOps
AI summary of the role
Senior hands-on engineer on the Smart Robotics team, owning the full pipeline from algorithm development to production deployment for visual inspection solutions in automated manufacturing.
What you’ll do
- Develop and optimize visual inspection algorithms for defect detection, anomaly detection, classification, and quality validation using deep learning
- Optimize model inference for GPU deployment using CUDA, TensorRT, and related acceleration frameworks
- 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
What you’ll bring
- MS or PhD in CS, EE, or related field, or equivalent experience
- 5+ years of relevant experience in computer vision and/or machine learning
- Strong programming skills in Python
- Deep experience with PyTorch for model development and training
Technologies
PyTorch · CUDA · TensorRT · Python · MLflow · Weights & Biases · Kubeflow · ROS2 · GigE Vision · GenICam · CoaXPress
About Bright Machines
Builds software-defined factories and AI-enabled assembly lines for servers and other electronics, linking design simulation, robotics, and production data to speed AI hardware manufacturing.
Series C
Source and classification
Internal deployment & tooling · Evidence for this classification:
responsible for productizing visual inspection solutions for our automation platform. You will own the full pipeline—from algorithm development to production deployment—turning 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 design end-to-end inspection solutions that deliver consistent, accurate results under real-world factory conditions. Additionally, you will have the opportunity to shape the inspection product roadmap and drive the adoption of cutting-edge machine learning techniques in an industrial setting. WHAT YOU WILL BE DOING Develop
More from the 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 senior Robot Perception Engineer on the Smart Robotics team at Bright Machines, you will be a hands-on senior contributor responsible for productizing visual inspection solutions for our automation platform. You will own the full pipeline—from algorithm development to production deployment—turning 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 t [... source excerpt omitted ...] al Engineering and Manufacturing Operations, to design end-to-end inspection solutions that deliver consistent, accurate results under real-world factory conditions. Additionally, you will have the opportunity to shape the inspection product roadmap and drive the adoption of cutting-edge machine learning techniques in an industrial setting. WHAT YOU WILL BE DOING Develop and optimize visual inspection algorithms for defect detection, anomaly detection, classification, and quality validation using deep learning Optimize model inference for GPU deployment, leveraging CUDA, TensorRT, and related acceleration frameworks Collaborate with Mechanical engineers to design illumination [... source excerpt omitted ...] odel training, evaluation, and continuous improvement Partner with platform team to establish MLOps practices for model versioning, experiment tracking, automated retraining, and production model monitoring Harden inspection solutions for production reliability, including monitoring, alerting, and graceful degradation Work with service engineering and field teams to deploy inspection solutions and support customer rollouts Define metrics and benchmarks to measure inspection accuracy, throughput, and reliability WHAT YOU WILL BRING MS or PhD in Computer Science, Electrical Engineering, or a related field, or the equivalent in experience with evidence of exceptional ability. 5
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