Data Scientist / Computer Vision Engineer

Glint Tech Solutions • Robotic Software & Control Systems • Professional Services • Python • C++ • 2 days ago
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Salary
≈ $149k – $329k per year (Estimated)
Location
In office (Sunnyvale)

Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on Oct 7, 2026.

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Glint Tech Solutions

Glint Tech Solutions is a women-owned IT staffing and recruiting firm that sources contract and direct-hire talent for enterprise clients, alongside an AI hiring product it markets as Glinto AI. Its postings cover client projects across the United States and Canada, from New York, Sunnyvale, Santa Clara and Reston to Toronto, and some defense roles require an active DoD Secret clearance. Open positions are mostly placements at client companies, including software and DevOps engineers, embedded and field application engineers, product managers, data center cooling sales staff and regulatory reporting analysts.
glinttechsolutions.com • New York • San Francisco • Chicago • Washington • Noida • IT Staffing & Staff Augmentation

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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