Data Scientist / Computer Vision EngineerGlint Tech Solutions • Sunnyvale, California, United States
Data Scientist / Computer Vision Engineer
Glint Tech Solutions
- Sunnyvale, California, United States
- Sunnyvale, California, United States
Über
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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Sprachkenntnisse
- English
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