Data Scientist / Computer Vision Engineer

Glint Tech Solutions

  • Sunnyvale, California
  • 30+ days ago

    Highlights

    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.

    Numbers & Facts

    LocationSunnyvale, California
    Websitehttps://www.glinttechsolutions.com

    Description

    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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