Staff AI / ML Computer Vision Engineer

We are seeking for a Staff AI / ML Computer Vision Engineer to design and develop cutting-edge AI-powered features for our 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.

The ideal candidate combines deep technical expertise in embedded AI, computer vision, multi-sensor fusion, and real-time video processing with strong problem-solving and collaborative skills.

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.

Requirements

Required Qualifications

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

Desired Qualifications

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

Salary range : $140,000 - 200,000

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

At TP-Link Systems Inc., we are continually searching for ambitious individuals who are passionate about their work. We believe that diversity fuels innovation, collaboration, and drives our entrepreneurial spirit. As a global company, we highly value diverse perspectives and are committed to cultivating an environment where all voices are heard, respected, and valued. We are dedicated to providing equal employment opportunities to all employees and applicants, and we prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Beyond compliance, we strive to create a supportive and growth-oriented workplace for everyone. If you share our passion and connection to this mission, we welcome you to apply and join us in building a vibrant and inclusive team at TP-Link Systems Inc.

Please, no third-party agency inquiries. We are unable to offer visa sponsorships at this time. You must be legally authorized to work in the United States without the need for employment visa sponsorship now or in the future.