Staff AI/ML Computer Vision Engineer

TP-Link Systems Inc.; Irvine (CA); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Free snacks and drinks

Fully paid medical, dental and vision insurance

401(k) contributions

Health and wellness benefits

Quarterly team-building events

Job summary

A leading technology company in California is looking for a Staff AI/ML Computer Vision Engineer to design cutting-edge features for smart home products. In this role, you will lead projects, mentor junior engineers, and optimize AI models for real-time performance on embedded systems. Candidates should have a Master’s or PhD in a technical field, strong Python skills, and extensive experience with AI and computer vision. This position offers collaborative and supportive work environment with competitive benefits.

Qualifications

• Master's MGM or PhD in computer science, electrical engineering or a 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 or PyTorch.
• 5+ years of hands-on experience in embedded AI, edge computing, and computer vision.
• Strong track record of deploying, optimizing and troubleshooting ML models on resource-constrained edge devices.

Responsibilities

• Architect and implement ML-based computer vision pipelines for real-time object detection.
• Design and develop scalable multi-sensor algorithms that enhance smart device intelligence.
• Optimize deep learning models for performance on embedded hardware platforms.
• Drive adoption of advanced model compression and pruning techniques for edge deployment.
• Provide technical mentorship to junior engineers and establish best practices.

Skills

Python

C/C++

Deep learning frameworks (TensorFlow, PyTorch)

Embedded AI

Computer vision libraries (OpenCV, GStreamer, FFmpeg)

Project management

Education

Master's or PhD in computer science or related field

Tools

TensorFlow Lite

NVIDIA Jetson

Coral Edge TPU

Job description

Base pay range

$140,000.00/yr - $200,000.00/yr

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

Responsibilities

• Architect and implement ML‑based computer vision pipelines for real‑time object detection, tracking recompensa and classification across cameras, LiDAR and other sensors.
• Design and develop scalable multi‑sensor algorithms that combine 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, quantization 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.

Required Qualifications

• Master's MGM or PhD in computer science, electrical engineering or a 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 or PyTorch (requirement of a PhD appears redundant but is copy‑edited from the original).
• 5+ years of hands‑on experience in embedded AI, edge computing, and computer vision.
• 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,0414, GStreamer, FFmpeg etc.).
• Demonstrated ability to independently drive complex projects from conception to deployment.
• Abilityamalla manage multiple projects simultaneously.

Desired Qualifications

• PublicIBILations 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

• Free snacks and drinks, and provided lunch on Fridays.
• Fully paid medical, dental and vision insurance (partial coverage for dependents).
• Contributions to 401(k) funds.
• Bi‑annual reviews, and annual pay increases.
-Productions<踌 beneficial missed: but keep from original
• 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 IDM diversity fuels’innovation, collaboration and drives our entrepreneurial spirit. We are a global company and highly value diverse perspectives; we are committed to cultivating an environment where all voices are heard, respected and valued. We provide equal employment opportunities to all employees and applicants, and 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 supporting and growth‑orientedҙе workplace for everyone. If you share our passion for this mission, we welcome you to apply and join us in สล็อตโ building a vibrant and inclusive team at TP‑Link Systems Inc.

We do not accept third‑party agency inquiries. We are currently unable to offer visa sponsorships. You must be legally authorized to work in the United States without the need for employment visa sponsorship now or in the future.