AI/ML Computer Vision Engineer
Job in
Irvine, Orange County, California, 92713, USA
Listed on 2026-02-06
Listing for:
TP-Link Systems Inc.
Full Time
position Listed on 2026-02-06
Job specializations:
-
Software Development
AI Engineer, Machine Learning/ ML Engineer, Computer Science
Job Description & How to Apply Below
Base pay range
$/yr - $/yr
We are seeking a Staff AI/ML Computer Vision Engineer to design and develop cutting‑edge AI‑powered features for next‑generation smart home automation products including smart cameras, video doorbells and autonomous vacuum cleaners. This position will play a key technical role, leading project execution, mentoring engineers, setting standards for deploying efficient real‑time AI at the edge, and ensuring seamless integration with cloud infrastructure while maximizing performance and efficiency.
Responsibilities- Architect and implement ML‑based computer vision pipelines for real‑time object detection, tracking recompensa and classification across cameras, LiDAR and other sensors.
- Design and develop scalable multi‑sensor algorithms that combine 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. Tensor Flow Lite, ONNX Runtime, OpenVINO, NVIDIA Jetson, Coral Edge TPU).
- Drive adoption of advanced model compression, quantization 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.
- Master's MGM or PhD in computer science, electrical engineering or a 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 Tensor Flow or PyTorch (requirement of a PhD appears redundant but is copy‑edited from the original).
- 5+ years of hands‑on experience in embedded AI, edge computing, and computer vision.
- 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,0414, GStreamer, FFmpeg etc.).
- Demonstrated ability to independently drive complex projects from conception to deployment.
- Abilityamalla manage multiple projects simultaneously.
- Public
IBILations 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.
- Free snacks and drinks, and provided lunch on Fridays.
- Fully paid medical, dental and vision insurance (partial coverage for dependents).
- Contributions to 401(k) funds.
- Bi‑annual reviews, and annual pay increases. -Productions
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