TP-Link · 2 days ago
Principal AI/ML Computer Vision Engineer
Irvine, CA
Full-time
Onsite
Lead/Staff
$170K/yr - $240K/yr
8+ years expTP-Link is seeking a visionary Principal AI/ML Computer Vision Engineer to lead the technical direction of next-generation smart home automation products. This role involves strategic leadership in research, architecture, and system design, driving innovations from conception to deployment across edge and cloud environments.
Consumer Electronics
No H1B
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
Qualification
Required
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 (TensorFlow, 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
Preferred
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
Benefits
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
Company
TP-Link
Headquartered in the United States, TP-Link is a global provider of reliable networking devices and smart home products, consistently ranked as the world’s top provider of Wi-Fi devices.
10001+ employees
Funding
Current Stage
Late StageCompany data provided by crunchbase