Principal AI​/ML Computer Vision Engineer

We are seeking for a visionaryPrincipal AI/ML Computer Vision Engineerto 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.

Responsibilities

• 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.

Required Qualifications

• 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.

Desired Qualifications

• 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.

Salary range: $230,

• 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,…