Job description

About Us: Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant, a member of the NASDAQ-100, is ranked 195 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com. About Cognizant’s IoT Practice: Intelligent, IoT-enabled products will soon result in the proliferation of data and disrupt virtually all industries. To be successful, both large and small companies must leverage IoT capabilities by designing modern products that fundamentally connect people with processes. Within Cognizant IOT, we engineer industry-aligned, IoT-enabled products that merge industry needs with human drivers. Our intelligent products will revolutionize experiences and result in exciting, transformative outcomes. Without human-centered thinking, connected products are just standalone things—but with it, our modern connected products facilitate a unified way of life enjoyed by all. Senior Embedded Video Analytics Engineer Role Overview Looking for an engineer to optimize and deploy video analytics applications on embedded router hardware. The ideal candidate should have strong C++ development skills, experience with computer vision/video analytics, and the ability to work with Python-based AI/ML pipelines. Key Responsibilities • Port and optimize video analytics applications for CPU-based embedded devices. • Improve performance, memory usage, and inference speed on Linux platforms. • Work with object detection and image/video processing pipelines. • Deploy and manage applications in Docker/LXC containers. • Integrate and optimize AI/ML models using ONNX, TensorFlow Lite, or OpenVINO. • Benchmark and tune accuracy vs. performance on constrained hardware. Required Skills • 4+ years of experience in Embedded Software Engineering. • Strong C++ programming skills. • Good understanding of Python and AI/ML workflows. • Experience with Video Analytics, Computer Vision, OpenCV, YOLO, or Object Detection. • Embedded Linux development and performance optimization. • Docker or containerization experience. • Knowledge of ONNX, TensorFlow Lite, quantization, or model optimization. Preferred • Edge AI / Edge ML deployment experience. • OpenWRT, PrplOS, Cradlepoint, or networking device experience. • RTSP/video streaming knowledge. • ARM platform optimization. Compensation: - $90,000 to $125,000 + COLA and this position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. Application will be accepted by 10/8/2026 Benefits : Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: • Medical/Dental/Vision/Life Insurance • Paid holidays plus Paid Time Off • 401(k) plan and contributions • Long-term/Short-term Disability • Paid Parental Leave • Employee Stock Purchase Plan #LI-CT1 About Cognizant: Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant. Additional employment information Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws. If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.

Requirements

Must-haves

Senior Embedded Video Analytics Engineer
Port and optimize video analytics applications for CPU-based embedded devices.
Improve performance, memory usage, and inference speed on Linux platforms.
Work with object detection and image/video processing pipelines.
Deploy and manage applications in Docker/LXC containers.
Integrate and optimize AI/ML models using ONNX, TensorFlow Lite, or OpenVINO.
Benchmark and tune accuracy vs. performance on constrained hardware.
4+ years of experience in Embedded Software Engineering.
Strong C++ programming skills.
Good understanding of Python and AI/ML workflows.
Experience with Video Analytics, Computer Vision, OpenCV, YOLO, or Object Detection.
Embedded Linux development and performance optimization.
Docker or containerization experience.
Knowledge of ONNX, TensorFlow Lite, quantization, or model optimization.

Nice-to-haves

Edge AI / Edge ML deployment experience.
OpenWRT, PrplOS, Cradlepoint, or networking device experience.
RTSP/video streaming knowledge.
ARM platform optimization.
Benefits : Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Long-term/Short-term Disability
Employee Stock Purchase Plan

Application prep

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Keywords to mirror

pythonaimldocker

Platform: cognizant
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave