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Open nowFirst seen 2 days ago

Data Scientist / Computer Vision Engineer

Glint Tech Solutions LLC139 open roles

Where
Sunnyvale, California, United States
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Your applicationOpen nowData Scientist / Computer Vision EngineerGlint Tech Solutions LLC · Sunnyvale, California, United States
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  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 2 days ago

The posting

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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