Job Description: Senior Computer Vision Machine Learning Engineer (Candidate must be physically present in USA) (NO OPT/CPT VISA)

About Us

At Codvo, software and people transformations go together. We are a global empathy-led technology services company with a core DNA of product innovation and mature software engineering. We uphold the values of Respect, Fairness, Growth, Agility, and Inclusiveness in everything we do.

Job Overview

We are looking for a Senior Computer Vision Machine Learning Engineer to lead the development of real-time CV/ML systems, with an emphasis on deploying models on edge platforms like the NVIDIA IGX Orin. The ideal candidate will have experience in designing robust vision pipelines, training and optimizing deep learning models, and working closely with hardware platforms for deployment.

Responsibilities

Lead the design, development, and deployment of end-to-end computer vision and deep learning models
Optimize and deploy CV/ML pipelines on edge platforms, particularly NVIDIA IGX (Orin preferred)
Work with cross-functional teams to integrate models into real-time applications (e.g., robotics, safety systems, industrial inspection)
Develop and maintain datasets, perform data augmentation, and ensure quality training inputs
Leverage NVIDIA SDKs (e.g., DeepStream, TensorRT, TAO Toolkit, CUDA) for performance and acceleration
Collaborate with hardware engineers to fine-tune models for power, latency, and throughput constraints
Stay up to date with the latest research and techniques in computer vision, edge AI, and embedded ML

Requirements

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field
5+ years of experience in Computer Vision and Machine Learning (deep learning emphasis)
Proficiency in Python, C++, TensorFlow, PyTorch
Strong understanding of model optimization techniques for edge deployment
Hands-on experience with NVIDIA platforms – IGX, Jetson, or Xavier (IGX Orin highly preferred)
Experience with NVIDIA SDKs (e.g., DeepStream, TensorRT, CUDA, TAO Toolkit)
Solid knowledge of vision tasks: object detection, tracking, classification, segmentation
Familiarity with containerization (Docker), CI/CD pipelines, and version control (Git)

Preferred Qualifications

Experience in industrial AI, medical imaging, or robotics
Exposure to RTOS, safety-critical systems, or IEC 61508/ISO 26262 environments
Familiarity with ONNX, OpenCV, ROS, or GStreamer

What We Offer

Opportunity to work on cutting-edge AI/edge technology with real-world impact
Collaborative and fast-paced engineering culture
Flexible working hours and remote work options
Competitive salary and benefits package

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