Data Scientist / Computer Vision Engineer

Glint Tech Solutions; Sunnyvale (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Glint Tech Solutions is looking for a highly experienced Data Scientist / Computer Vision Engineer to join their innovative AI team. The role involves designing and optimizing computer vision solutions for enterprise applications, focusing on NVIDIA DeepStream and GPU performance.

The candidate should have strong expertise in distributed computing, microservices architecture, and deploying scalable AI applications. This is a technical role demanding a hands-on approach to performance optimization and real-world implementation.

Qualifications

• Strong experience with Computer Vision technologies and production deployments.
• Hands-on experience with NVIDIA DeepStream is required.
• Experience deploying scalable AI applications in production.

Responsibilities

• Design, develop, and optimize computer vision solutions for real-world production environments.
• Build scalable AI inference pipelines using NVIDIA DeepStream.
• Collaborate with AI researchers and software engineers to deliver production-ready solutions.

Skills

NVIDIA DeepStream

GPU Optimization

Computer Vision

Microservices Architecture

Distributed Computing

Tools

Python

C++

Kubernetes

Docker

AWS

Azure

GCP

OpenCV

GStreamer

Job 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