Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Staff AI/ML Computer Vision Engineer.
United States Jobs Expertini

Urgent! Staff AI/ML Computer Vision Engineer Job Opening In Irvine – Now Hiring TP-Link Systems Inc.

Staff AI/ML Computer Vision Engineer



Job description

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

The ideal candidate combines deep technical expertise in embedded AI, computer vision, multi-sensor fusion, and real-time video processing with strong problem-solving and collaborative skills.

Responsibilities

  • Architect and implement ML-based computer vision pipelines for real-time object detection, tracking, and classification across cameras, LiDAR, and other sensors.
  • Design and develop scalable multi-sensor algorithms combining 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, quatization, 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.

Requirements

Required Qualifications

  • Master’s or PhD in computer science, electrical engineering, or 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, PyTorch or similar with a PhD.
  • 5+ years of hands-on experience in embedded AI, edge computing, and computer vision.
  • 8+ years experience with a Master's degree
  • 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, gstreamer, FFmpeg, etc.).
  • Demonstrated ability to independently drive complex projects from conception to deployment.
  • Able to simultaneously manage multiple projects

Desired Qualifications

  • Publications 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

Salary range: $140,000 - 200,000

  • 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.

Please, no third-party agency inquiries.

We are unable to offer visa sponsorships at this time.

You must be legally authorized to work in the United States without the need for employment visa sponsorship now or in the future.


Required Skill Profession

Computer Occupations



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your Staff AI Potential: Insight & Career Growth Guide


  • Real-time Staff AI Jobs Trends in Irvine, United States (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Staff AI in Irvine, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 51518 jobs in United States and 215 jobs in Irvine. This comprehensive analysis highlights market share and opportunities for professionals in Staff AI roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

  • Are You Looking for Staff AI/ML Computer Vision Engineer Job?

    Great news! is currently hiring and seeking a Staff AI/ML Computer Vision Engineer to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

  • The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at TP-Link Systems Inc. adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:
    • 1. Independence
    • 2. Loyalty
    • 3. Impartiality
    • 4. Integrity
    • 5. Accountability
    • 6. Respect for human rights
    • 7. Obeying United States laws and regulations
  • What Is the Average Salary Range for Staff AI/ML Computer Vision Engineer Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Irvine. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

  • What Are the Key Qualifications for Staff AI/ML Computer Vision Engineer?

    Key qualifications for Staff AI/ML Computer Vision Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.

  • How Can I Improve My Chances of Getting Hired for Staff AI/ML Computer Vision Engineer?

    To improve your chances of getting hired for Staff AI/ML Computer Vision Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

  • Interview Tips for Staff AI/ML Computer Vision Engineer Job Success
    TP-Link Systems Inc. interview tips for Staff AI/ML Computer Vision Engineer

    Here are some tips to help you prepare for and ace your job interview:

    Before the Interview:
    • Research: Learn about the TP-Link Systems Inc.'s mission, values, products, and the specific job requirements and get further information about
    • Other Openings
    • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
    • Dress Professionally: Choose attire appropriate for the company culture.
    • Prepare Questions: Show your interest by having thoughtful questions for the interviewer.
    • Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.
    During the Interview:
    • Be Punctual: Arrive on time to demonstrate professionalism and respect.
    • Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.
    • Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.
    • Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.
    • Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.
    • Follow Up: Send a thank-you email to the interviewer within 24 hours.
    Additional Tips:
    • Be Yourself: Let your personality shine through while maintaining professionalism.
    • Be Honest: Don't exaggerate your skills or experience.
    • Be Positive: Focus on your strengths and accomplishments.
    • Body Language: Maintain good posture, avoid fidgeting, and make eye contact.
    • Turn Off Phone: Avoid distractions during the interview.
    Final Thought:

    To prepare for your Staff AI/ML Computer Vision Engineer interview at TP-Link Systems Inc., research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the TP-Link Systems Inc.'s products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

  • How to Set Up Job Alerts for Staff AI/ML Computer Vision Engineer Positions

    Setting up job alerts for Staff AI/ML Computer Vision Engineer is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!