Computer Vision Scientist

L&T Technology Services; Santa Clara (CA); On-site; USD 170,000 - 250,000; Full time

Job summary

L&T Group AI Center of Excellence in Santa Clara, CA seeks a senior Computer Vision Scientist to advance 2D/3D vision for industrial applications. You will own the reusable vision platform, guiding data acquisition, labeling standards, and deployment across assets from BIM to digital twins.

Ideal candidates hold a PhD or MS in a related field with 8–15 years of CV/ML experience, strong Python/C++, and a track record of production deployments. Hands-on edge AI and publications are a plus.

Qualifications

• 8–15 years in computer vision and ML with production deployments.
• Industrial, manufacturing, construction, or infrastructure experience preferred.
• Strong Python and C++, with expertise in CNNs and vision transformers.

Responsibilities

• Design, train, and optimize models for detection, segmentation, tracking, pose estimation, and anomaly detection.
• Adapt foundation models to industrial and site imagery.
• Deliver PoCs to production with measurable business value.
• Mentor scientists and engineers; contribute to the CoE repository and patents.

Skills

CNNs & Vision Transformers

Python & C++

PyTorch

Open3D / PCL

Edge AI deployment

Publications (CVPR/ICCV/ECCV/NeurIPS)

Education

Master's or PhD in CS/EE/AI/Applied Mathematics

Tools

Open3D

PCL

NVIDIA Jetson

Job description

Computer Vision Scientist – L&T Group AI Center of Excellence

Scope: L&T Group-wide Experience: 8-15 years

Reports to: Head, AI Center of Excellence

About the Role

Help L&T businesses see, measure, and understand the physical world at scale. You will apply state-of-the-art 2D and 3D vision to high-impact problems such as quality inspection, construction progress monitoring, worker safety, and asset health, and own the CoE's reusable vision platform for Engineering, Manufacturing, Infrastructure, Energy, and Defence.

What You'll Do

• Design, train, and optimize models for detection, segmentation, tracking, pose estimation, and anomaly detection, including adapting foundation models (SAM, DINOv2, YOLO, ViT) to industrial and site imagery.
• Build 3D vision capabilities: depth estimation, point-cloud processing, photogrammetry, and scene reconstruction.
• Take solutions from proof of concept to production with clear business-value metrics, and integrate outputs with BIM, digital twins, and enterprise systems.
• Set data acquisition and labeling standards across camera, drone, thermal, and LiDAR sources; use synthetic and self-supervised methods to reduce annotation effort.
• Optimize models for real-time edge inference (NVIDIA Jetson, industrial cameras) with quantization, pruning, and TensorRT or OpenVINO; work with MLOps on monitoring and retraining.
• Mentor scientists and engineers, contribute to the CoE repository, and publish or file patents.

First 12 Months

• Define the CoE computer vision roadmap and reusable vision platform.
• Deliver 3-5 vision proofs of concept, at least 2 scaled to production.
• Establish a standard annotation and model evaluation framework, and publish an edge deployment reference architecture.

What We're Looking For

• Master's or PhD in Computer Science, Electrical Engineering, AI, Applied Mathematics, or a related field (PhD preferred).
• 8-15 years in computer vision and machine learning, with a track record of production deployments. Industrial, manufacturing, construction, or infrastructure experience is strongly preferred.
• Deep expertise in CNNs, vision transformers, and modern detection and segmentation architectures.
• Strong Python and C++, with PyTorch, OpenCV, and 3D libraries such as Open3D or PCL; hands-on video analytics and edge AI deployment. Publications at CVPR, ICCV, ECCV, NeurIPS, or similar venues are a plus.