Principal AI​/ML Computer Vision Engineer

Overview

We are seeking for a visionary Principal AI/ML Computer Vision Engineer to lead the technical direction of next-generation smart home automation products, including smart cameras, video doorbells, and autonomous vacuum cleaners. This role goes beyond hands-on development—it requires strategic leadership in research, architecture, and system design, driving innovations from conception to deployment across edge and cloud environments.

As a technical thought leader, you will define our AI/ML vision for perception and intelligence in smart devices, lead cross-functional efforts across hardware, cloud, and embedded software, and establish frameworks for scalable, robust, and efficient deployment of AI models. You will mentor senior/staff-level engineers and influence product strategy with deep domain knowledge in embedded AI, multi-modal perception, and real-time systems.

• Define and drive the long-term AI/ML strategy and vision for smart device perception, edge computing, and multi-sensor intelligence.
• Architect next-generation real-time AI pipelines for object detection, multi-target tracking, scene understanding, and environment mapping across multi-modal sensors (camera, audio, radar/LiDAR).
• Lead complex cross-functional initiatives involving embedded systems, cloud services, hardware acceleration, and ML infrastructure.
• Establish company-wide best practices for model training, deployment, compression (quantization, pruning), and monitoring in production environments.
• Drive innovation and prototyping of new AI-powered features by evaluating and integrating emerging research from academia and industry.
• Influence hardware/software co-design to optimize performance, power efficiency, and cost across multiple product lines.
• Mentor and grow senior/staff-level engineers, fostering a culture of excellence, ownership, and continuous learning.
• Collaborate closely with cloud AI and infrastructure teams to ensure seamless end-to-end system integration and lifecycle management.
• Represent the company in industry forums and contribute to patents or publications in the field of computer vision, edge AI, or perception systems.

• PhD or Master’s degree in Computer Science, Electrical Engineering, or related field.
• 8+ years of experience in AI/ML, including 7+ years in embedded AI or edge computing applications.
• Proven experience in designing and scaling real-time perception systems on embedded platforms and resource-constrained environments.
• Expert knowledge in deep learning frameworks (Tensor Flow, PyTorch) and computer vision toolkits (OpenCV, FFmpeg, gstreamer).
• Demonstrated leadership in shipping multiple AI-powered products from concept to mass production.
• In-depth experience in multi-sensor fusion, temporal modeling, and high-efficiency model deployment (TFLite, ONNX, Jetson, OpenVINO, etc.).
• Track record of technical leadership in cross-functional teams spanning hardware, firmware, and cloud.
• Excellent communication skills and the ability to influence both technical and non-technical stakeholders.

• Recognized contributions to the AI/ML community via publications, patents, or open-source projects.
• Experience with VLMs (Vision-Language Models), foundation models, or generative AI applied to visual understanding.
• Familiarity with hardware/software co-design and ML accelerator integration (e.g., NPUs, TPUs, FPGAs).
• Experience driving system-level performance optimization and benchmarking across edge and cloud components.

$170,

• 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

TP-Link Systems Inc. is an equal employment opportunity employer. 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…