CUDA Developer

We're seeking passionate, driven, and self-motivated individuals to join our team. If you're eager to grow in a dynamic environment and be part of a company that’s at the forefront of AI innovation, this is your chance to hit the ground running.

VIDIZMO is a USA-based technology company headquartered in Tysons, Virginia, and a Microsoft Solutions Partner in Data & AI, Infrastructure, and Digital & App Innovation. Offering a AI-Powered Intelligence Hub, we empower Fortune 500 companies, large enterprises, governments, and the public sector to securely manage, analyze, and govern their data with complete control and compliance.

Our Multimodal AI Data Intelligence Platform leverages Large Language Models (LLMs) and RAG (Retrieval-Augmented Generation) to deliver powerful capabilities such as auto-tagging, redaction, content summarization, OCR, translation, subtitle creation, object detection and tracking, content search, sentiment and emotion analysis, topic extraction, document classification, and facial attribute detection.

About the Role

We are seeking an experienced and highly skilled Computer Vision & Video Analytics Engineer to join our cutting-edge AI engineering team. In this role, you will design, build, and optimize real-time intelligent video analytics (IVA) systems by bridging the gap between machine learning models and high-performance production deployment.

You will architect and optimize GPU-accelerated video pipelines using NVIDIA DeepStream, GStreamer, CUDA, and TensorRT to deliver low-latency, scalable, and production-grade solutions.

Responsibilities

Architect, develop, and optimize real-time video analytics pipelines using NVIDIA DeepStream and GStreamer.

Optimize deep learning inference using TensorRT and maximize GPU performance using CUDA.

Integrate computer vision models (detection, segmentation, tracking, classification) into production systems.

Write clean, efficient, and maintainable C/C++ and Python code for Linux-based environments.

Troubleshoot, debug, and optimize GPU-accelerated, high-throughput applications.

Collaborate with data scientists, hardware teams, and backend engineers to refine and deploy AI pipelines.

Participate in code reviews, system design discussions, and performance optimization sessions.

Requirements

Professional software engineering experience with a focus on computer vision, GPU acceleration, or high-performance computing.

Strong proficiency in C/C++ and Python.

Hands-on experience with:

NVIDIA DeepStream SDK

GStreamer multimedia pipelines

CUDA programming

TensorRT for model optimization

Strong understanding of computer vision tools and frameworks: OpenCV, PyTorch, TensorFlow, ONNX.

Familiarity with message brokers such as Kafka, MQTT, or microservice architectures.

Strong grasp of CV concepts: object detection, segmentation, classification, tracking, and model optimization.

Excellent debugging and problem-solving skills in GPU-accelerated environments.

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.

Preferred Qualifications

Experience with Docker, containerization, and Kubernetes.

Hands-on experience with NVIDIA Jetson or other edge AI platforms.

Experience building custom GStreamer plugins or low-level GPU kernels.

Essential Skills:

The ideal candidate demonstrates strong business acumen, can translate objectives into impactful solutions, and is proficient in leveraging AI tools—including mandatory use of platforms like ChatGPT—to enhance efficiency. An ownership mindset and the ability to drive outcomes with minimal task-level direction are essential.

Benefits: Health Insurance (OPD/IPD), Separate Maternity Cover, Leave encashment, Car Support Program, Referral Bonus, EOBI, Bi-Annual Increment. Provident Fund, Career Growth, Bonus (benefits vary based on location)

Multiple Locations: Pakistan, India, UAE, Australia, Canada & USA