Data Scientist / Computer Vision Engineer

Glint Tech Solutions LLC builds large-scale, production-focused computer vision for enterprise applications, and this role sits on an AI team delivering real-world systems. The position emphasizes NVIDIA DeepStream, GPU performance optimization, and distributed computing, with the goal of shipping production-grade vision pipelines and microservices across GPU-accelerated environments.

What you’ll work on

You will design, develop, and optimize computer vision solutions intended for real-world production environments. Work centers on building scalable AI inference pipelines using NVIDIA DeepStream, with a strong focus on high-throughput, low-latency performance. You will also help deploy distributed computer vision applications across large-scale infrastructure, and create microservices that support AI and computer vision platforms.

• Design, develop, and optimize computer vision solutions for production use
• Build scalable AI inference pipelines using NVIDIA DeepStream
• Optimize GPU performance for high-throughput, low-latency workloads
• Develop and deploy distributed computer vision applications across large-scale infrastructure
• Design and implement microservices supporting AI and computer vision platforms
• Collaborate with AI researchers, software engineers, and infrastructure teams to deliver production-ready solutions
• Improve system performance, scalability, and reliability across GPU-accelerated environments
• Troubleshoot performance bottlenecks and optimize inference pipelines

Required skills

• NVIDIA DeepStream
• GPU Optimization
• Computer Vision
• Microservices Architecture
• Distributed Computing

Requirements

• Strong experience with Computer Vision technologies and production deployments
• Hands-on experience with NVIDIA DeepStream (Required)
• Strong understanding of GPU optimization and performance tuning
• Experience building microservices architecture
• Experience with distributed computing systems
• Strong programming skills in Python and/or C++
• Experience deploying scalable AI applications in production
• Excellent problem-solving and performance optimization skills

Technologies you may work with

• NVIDIA DeepStream, NVIDIA CUDA, TensorRT, NVIDIA SDKs
• Python, C++, OpenCV, GStreamer
• Microservices architecture, GPU optimization
• Kubernetes, Docker, cloud platforms (AWS, Azure, GCP)
• Machine learning models, deep learning models

Preferred qualifications

• Experience with NVIDIA CUDA or TensorRT
• Experience with OpenCV, GStreamer, or NVIDIA SDKs
• Familiarity with Kubernetes and Docker
• Experience with cloud platforms (AWS, Azure, or GCP)
• Experience deploying machine learning or deep learning models in production
• Knowledge of real-time streaming and edge AI solutions

Location: Sunnyvale, CA (onsite)