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Varitronix is a LCD design and manufacturing company with manufacturing plants in China and sales offices worldwide (HKEX stock code: 710). We are inviting talented professionals to fill the vacancies in our organization to cope with our business development. Responsibilities: Responsible for the R&D and mass production implementation of in-vehicle ADAS and DMS algorithms. Undertake end-to-end algorithm engineering, including data collection and cleaning, model training and tuning, distillation/ quantization/ pruning for lightweighting, embedded on-device deployment, inference performance optimization, in-vehicle integration testing and mass production iterations. Collaborate with engineering teams to complete algorithm SDK packaging, cross-chip platform adaptation, and optimization of power consumption and real-time performance. Conduct preliminary research into in-vehicle AI technologies, exploring the lightweight implementation and integrated application of large language models and multimodal large models in in-vehicle perception and behaviour understanding, and carry out technical solution validation and iteration. Be responsible for coordinating and advancing resources of the Companyt’s Research Center; possess a broad perspective and demonstrate business acumen (marketing/product/project management). Collaborate with universities on research and project partnership. Requirements: Master’s degree in Computer Science, Artificial Intelligence, Automation, Electronic Information, Machine Vision or related fields. At least 5 years of experience in the mass production R&D of in-vehicle vision algorithms. Solid foundation in traditional computer vision; proficiency in core algorithms such as object detection, instance segmentation, key point detection and classification. Experience in the mass production implementation of ADAS, DMS, 360-degree surround view or SLAM; with proficiency in algorithmic optimisation for complex driving conditions such as strong glare, backlighting, night-time, occlusion and motion blur. Proficiency in the engineering deployment of inference frameworks such as NPU chips, MNN and NCNN; and in lightweighting techniques including knowledge distillation, INT8/INT4 quantisation and structural pruning. Proficient in Python and the PyTorch deep learning framework; possesses solid C++ engineering development skills, as well as SDK encapsulation and cross-platform adaptation capabilities. Possess strong learning and technical transfer capabilities; proactively track developments in large-scale model technology; able to quickly master LoRA/QLoRA fine-tuning, multimodal model lightweighting and on-device deployment of large-scale models; possess composite capabilities in the integration and implementation of traditional computer vision and large-scale models. Excellent communication , presentation and interpersonal skills Fluent English, Cantonese and Mandarin Frequent travel to PRC is necessary We offer: 5-day Work Full staff benefits including medical & life insurance coverage Ongoing career development path Interested parties please send your full resume to the HR Department, Varitronix Group, Unit A-F Legend Tower, 7 Shing Yip Street, Kwun Tong, Kowloon, Hong Kong or email. Our company information can be viewed at our website www.varitronix.com. All applications will be treated in the strictest confidence. Personal data provided will be used for recruitment purpose only and in accordance with the Code of Practice on Human Resource Management.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
