TP-Link Systems Inc. · 1 day ago
Staff AI/ML Computer Vision Engineer
Irvine, CA
Full-time
Onsite
Senior Level, Lead/Staff
$140K/yr - $200K/yr
5+ years expTP-Link Systems Inc. is seeking a Staff AI/ML Computer Vision Engineer to design and develop cutting-edge AI-powered features for smart home automation products. The role involves leading project execution, mentoring engineers, and ensuring efficient integration of AI solutions with cloud infrastructure.
ElectronicsHardwareHealth CareInternetSoftware
No H1B
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
Required
Master's or PhD in computer science, electrical engineering, or related field
Expert proficiency in Python and familiarity with C/C++ for AI and computer vision development
At least 5 years of experience in deep learning frameworks such as TensorFlow, PyTorch or similar with a PhD
5+ years of hands-on experience in embedded AI, edge computing, and computer vision
8+ years experience with a Master's degree
Strong track record of deploying, optimizing, and troubleshooting ML models on resource-constrained edge devices
Extensive experience in image/video processing and computer vision libraries (OpenCV, gstreamer, FFmpeg, etc.)
Demonstrated ability to independently drive complex projects from conception to deployment
Able to simultaneously manage multiple projects
Preferred
Publications or patents in the field of computer vision, embedded AI, or edge inference
Familiarity with state-of-the-art deep learning models for image segmentation and object detection
Experience leading cross-functional technical initiatives
Familiarity with hardware/software co-design and low-power optimization for edge AI
Benefits
Free snacks and drinks, and provided lunch on Fridays
Fully paid medical, dental, and vision insurance (partial coverage for dependents)
Contributions to 401k funds
Bi-annual reviews, and annual pay increases
Health and wellness benefits, including free gym membership
Quarterly team-building events
Company
TP-Link Systems Inc.
Headquartered in the United States, TP-Link Systems Inc.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Ben Allcock
Vice President – B2B UK & Ireland
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