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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist / Computer Vision Engineer - **Company:** GLINT TECH SOLUTIONS LLC - **Location:** Sunnyvale, CA, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, C++ (Programming Language), Nvidia CUDA, Computer Programming, Distributed Systems, Python (Programming Language), Machine Learning, OpenCV, Performance Tuning, Software Deployment, Data Streaming, Deep Learning, Kubernetes, TensorRT, Docker, Microservices - **Published:** June 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=563a83781c26fc15 ## About the Role Do you have experience in System tuning?, 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., * 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, * 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 ## Description * 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 ## Related Videos - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [Deepfakes in Realtime - How Neural Networks Are Changing Our World](https://www.wearedevelopers.com/videos/180-deepfakes-in-realtime-how-neural-networks-are-changing-our-world) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Trends, Challenges and Best Practices for AI at the Edge](https://www.wearedevelopers.com/videos/630-trends-challenges-and-best-practices-for-ai-at-the-edge) - [Efficient deployment and inference of GPU-accelerated LLMs​](https://www.wearedevelopers.com/videos/929-efficient-deployment-and-inference-of-gpu-accelerated-llms) ## Related Articles - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Got AI ideas but no money? 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