Job Description

Headquartered in the United States, TP-Link Systems Inc. is a global provider of reliable networking devices and smart home products, consistently ranked as the world’s top provider of Wi-Fi devices. The company is committed to delivering innovative products that enhance people’s lives through faster, more reliable connectivity. With a commitment to excellence, TP-Link serves customers in over 170 countries and continues to grow its global footprint.

We believe technology changes the world for the better! At TP-Link Systems Inc, we are committed to crafting dependable, high-performance products to connect users worldwide with the wonders of technology. 

Embracing professionalism, innovation, excellence, and simplicity, we aim to assist our clients in achieving remarkable global performance and enable consumers to enjoy a seamless, effortless lifestyle.

Job Description

We are looking for an AI/ML Computer Vision Engineer (Entry Level) to support the development and deployment of AI-powered features within our smart home automation products, including smart security cameras, video doorbells, and autonomous vacuum cleaners. In this role, you'll assist in optimizing real-time machine learning inference and video analytics.

The ideal candidate is eager to learn and has foundational knowledge of embedded AI, computer vision, and real-time video processing, with practical experience or academic exposure to deploying ML models on edge devices. Additionally, interest or experience in training and deploying lightweight LLMs (Large Language Models) on edge hardware is a strong plus.

Responsibilities

• Assist in the development and implementation of computer vision pipelines for real-time object detection, tracking, and classification.
• Support integration of multi-sensor fusion techniques, including video, audio, radar, and LiDAR data, to enhance device functionality.
• Participate in optimization of deep learning models for inference on embedded hardware platforms (e.g., TensorFlow Lite, ONNX Runtime, OpenVINO, NVIDIA Jetson, Coral Edge TPU).
• Help apply quantization, pruning, and model compression methods to optimize performance on resource-constrained edge devices.
• Collaborate with senior team members and cloud developers to support edge-to-cloud data pipeline integration.

Required Qualifications

• Bachelor’s degree in computer science or related field.
• 1-2 years of relevant experience or internships in embedded AI, computer vision, or robotics.
• Proficiency in programming language: C | C++ | Python.
• Proficiency in deep learning frameworks (e.g., PyTorch, Tensorflow, Darknet).
• Experience in traditional computer vision algorithms.
• MLOps fundamentals for managing model lifecycle and deployment workflows.
• Familiarity with image processing tools such as PIL/Pillow, and OpenCV.
• Experience developing on embedded Linux environment.

Desired Qualifications

• Familiarity with modern deep learning models for object detection and segmentation.
• Understanding of ensemble methods for combining multiple ML models.
• Knowledge of techniques for low-power AI inference optimization on edge devices.

Salary range: $100,000-$120,000

• 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.

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