Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 5 days ago

M30252-視覺開發工程師

wnc1,005 open roles

Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowM30252-視覺開發工程師wnc

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on wnc's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. wnc postings stay open a median of 13 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 5 days ago

wnc median: 13 days open

The posting

We are a leading company in the wireless broadband communications industry looking for talented professionals with a winning attitude.

Job Description

1. Embedded Imaging Platform DSP/ISP HW Pipeline IPs Image Parameter Tuning and Development: - Lab-level Camera Module Optical Calibrations (BLC, DPC, LSC, CA, MWB, CCM, LDC, etc.) adjustments and optical/image verification. - Lab baseline and high-to-low color temperature x high-to-low brightness scene ISP/IQ tuning, optimization, and image quality verification. - Field ISP/IQ fine-tuning, optimization, and image quality verification for different time periods, lighting conditions, weather, and mixed color temperature scenarios. 2. Image Processing and Visual Recognition Software Development: - Design and implement image and calibration processing algorithms (such as Particle/Blemish Detection, Lens Optical Camera Matrix, Lens Optical Center, Color Accuracy/Uniformity, Image Enhancement, Denoising, Edge Detection, etc.). - Develop visual recognition technologies (such as object detection, facial recognition, gesture recognition, etc.). 3. Deep Learning and Machine Learning Applications: - Use deep learning frameworks (such as TensorFlow, PyTorch, Keras) for model development and optimization. - Develop and train machine learning models for image recognition and classification applications. 4. System Integration, Optimization, and Debugging: - Integrate image processing software into network communication and automotive devices, ensuring compatibility with hardware and other software modules. - Optimize and adjust systems for different application scenarios (such as surveillance, image analysis, etc.). - Conduct performance analysis and optimization of image processing software to improve processing speed and resource utilization. - Use tools (such as GDB, Valgrind, Coverity) for debugging and problem analysis to resolve software errors. 5. Testing and Validation: - Use various standard color/sunlight sources and integrating spheres in the lab for module-level optical and image validation. - Design and execute test plans for image vision software to ensure functionality and performance meet specification requirements. - Use tools (such as OpenCV, MATLAB, ImaTest, ImageJ) to analyze and validate image processing results. - Conduct actual field test validation according to product usage scenarios, including different times and weather conditions. 6. Cross-Departmental Collaboration: - Collaborate with hardware, testing, and product managers to participate in requirement specification discussions and feasibility assessments. - Produce image-related validation reports to ensure product imaging and optical results meet design standards. - Write software design documents to ensure the maintainability and scalability of the software architecture.

Education

Work Experience

Language

Skills

Back End (Software Engineering)、 Back End (Software Engineering)、 C (Programming Language)、 C++ Programming Language、 Camera Link、 Computer Vision、 Digital Image Processing、 Direct Web Remoting (Java)、 Ethernet、 Event Listeners (Java)、 Front-End Engineering、 GigE Vision、 Hibernate ORM、 Image Segmentation、 Image Sensor、 ImageX (Imaging Software)、 Java (Programming Language)、 Java Swings、 Link Aggregation (Ethernet)、 Machine Vision (MV)、 Media Independent Interface (Ethernet)、 Microsoft Visual Studio、 OpenCV、 Optics、 Photonics (還有 9 個)

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against wnc's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on wnc's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    wnc's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.