Data Scientist / Computer Vision Engineer

Glint Tech Solutions
Sunnyvale, CAcontractPosted Jun 25, 2026
We are seeking a highly experienced **Data Scientist / Computer Vision Engineer** to join an innovative AI team building large-scale computer vision solutions for enterprise applications. The ideal candidate will have deep expertise in **NVIDIA DeepStream** , GPU optimization, distributed computing, and production-grade computer vision systems. This is a highly technical role requiring hands-on experience developing scalable, high-performance AI applications. **Responsibilities** - Design, develop, and optimize computer vision solutions for real-world production environments - Build scalable AI inference pipelines using NVIDIA DeepStream - Optimize GPU performance for high-throughput, low-latency computer vision 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 Qualifications** - 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 **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 **Required Skills (Must Have)** NVIDIA DeepStream GPU Optimization Computer Vision Microservices Architecture Distributed Computing

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