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TP-Link Systems Inc. · 4 months ago

Staff AI/ML Computer Vision Engineer

Irvine, California, United States

Full-time

Onsite

Lead/Staff

TP-Link Systems Inc. is seeking a Staff AI/ML Computer Vision Engineer to design and develop cutting-edge AI-powered features for their next-generation smart home automation products. The role involves leading project execution, mentoring engineers, and ensuring the integration of efficient, real-time AI solutions with cloud infrastructure.

ElectronicsHardwareHealth CareInternetSoftware

H1B Sponsor Likely

Responsibilities

Architect and implement ML-based computer vision pipelines for real-time object detection, tracking, and classification across cameras, LiDAR, and other sensors

Design and develop scalable multi-sensor algorithms combining video, audio, and radar/LiDAR data to enhance smart device perception and intelligence

Optimize deep learning models for high performance and low-latency inference on embedded hardware platforms(e.g. Tensorflow Lite, ONNX Runtime, OpenVINO, NVIDIA Jetson, Coral Edge TPU)

Drive Adoption of advanced model compression, quatization, and pruning techniques for efficient edge deployment

Provide technical mentorship to junior engineers, participate in code reviews, and establish best practices for embedded AI software development

Collaborate closely with cloud, hardware, and firmware teams to ensure seamless integration between edge AI solutions and cloud infrastructure, maximizing overall system performance and efficiency

Stay current with the latest advances in AI, computer vision, VLM, and edge computing; evaluate new technologies for potential adoption

Qualification

Embedded AIComputer VisionReal-time Video ProcessingMulti-sensor FusionDeep Learning OptimizationProblem-solvingCollaboration

Required

Deep technical expertise in embedded AI

Expertise in computer vision

Experience with multi-sensor fusion

Proficiency in real-time video processing

Ability to architect and implement ML-based computer vision pipelines for real-time object detection, tracking, and classification

Experience designing and developing scalable multi-sensor algorithms combining video, audio, and radar/LiDAR data

Ability to optimize deep learning models for high performance and low-latency inference on embedded hardware platforms (e.g. Tensorflow Lite, ONNX Runtime, OpenVINO, NVIDIA Jetson, Coral Edge TPU)

Experience with advanced model compression, quantization, and pruning techniques for efficient edge deployment

Technical mentorship experience to junior engineers

Participation in code reviews and establishment of best practices for embedded AI software development

Collaboration with cloud, hardware, and firmware teams for seamless integration between edge AI solutions and cloud infrastructure

Staying current with the latest advances in AI, computer vision, VLM, and edge computing

Company

TP-Link Systems Inc.

Glassdoor3.5

Headquartered in the United States, TP-Link Systems Inc.

Founded in 1996

Reading, Reading, GBR

51-200 employees

https://www.tp-link.com/

H1B Sponsorship

TP-Link Systems Inc. has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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Trends of Total Sponsorships

2021 (3)