Data Scientist / Computer Vision Engineer

Glint Tech Solutions LLC; Sunnyvale (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

Glint Tech Solutions LLC in Sunnyvale, CA is seeking a skilled computer vision engineer to join an on-site AI team delivering production-scale CV applications.

You will design, build, and optimize CV systems, create scalable inference pipelines with NVIDIA DeepStream, and tune GPU performance for high-throughput workloads in a distributed microservices ecosystem.

Collaborate with AI researchers and infra teams to ship robust, scalable, GPU-accelerated solutions in production environments.

Qualifications

• Strong experience with computer vision technologies and production deployments.
• Hands-on NVIDIA DeepStream experience (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.

Responsibilities

• Design, build, and optimize computer vision solutions for production environments.
• Create scalable AI inference pipelines using NVIDIA DeepStream.
• Tune 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 that support AI and computer vision platforms.
• Collaborate with AI researchers, software engineers, and infrastructure teams to ship production-ready systems.
• Improve performance, scalability, and reliability across GPU-accelerated environments.
• Identify and resolve performance bottlenecks by troubleshooting and optimizing inference pipelines.

Skills

NVIDIA DeepStream

GPU Optimization

Computer Vision

Microservices Architecture

Distributed Computing

Python

C++

Tools

NVIDIA CUDA

TensorRT

OpenCV

GStreamer

Kubernetes

Docker

AWS

Azure

GCP

Job description

Work on an AI team delivering production-scale computer vision for enterprise applications in Sunnyvale, CA (onsite).

Responsibilities

• Design, build, and optimize computer vision solutions for real-world production environments
• Create scalable AI inference pipelines using NVIDIA DeepStream
• Tune GPU performance to support high-throughput, low-latency computer vision workloads
• Develop and deploy distributed computer vision applications across large-scale infrastructure
• Design and implement microservices that support AI and computer vision platforms
• Collaborate with AI researchers, software engineers, and infrastructure teams to ship production-ready systems
• Improve performance, scalability, and reliability across GPU-accelerated environments
• Identify and resolve performance bottlenecks by troubleshooting and optimizing inference pipelines

Requirements

• Strong experience with computer vision technologies and production deployments
• Hands-on NVIDIA DeepStream experience (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

• NVIDIA DeepStream, NVIDIA CUDA, TensorRT
• Python, C++
• OpenCV, GStreamer
• Microservices architecture
• GPU optimization, NVIDIA SDKs
• Kubernetes, Docker
• AWS, Azure, GCP, cloud platforms
• 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

Required skills (must have)

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