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Job Responsibility Conduct research and development in machine vision and vision AI technology. Design and implement vision algorithms such as image processing, pattern recognition, and object detection. Develop vision-based solutions for automation, inspection and AI applications. Integrations with hardware systems such as cameras, lighting, and optics. Collaborate with cross-functional teams including software, hardware, and mechanical engineers. Prepare technical reports, documentation, and publications of research outcomes. Stay updated with the latest research, tools, and technologies in computer vision and AI. Support prototyping, trials, and customer evaluations of vision-based systems. Troubleshoot and resolve technical issues related to vision algorithms and systems. Job Requirements Preferably in bachelor’s degree / Postgraduate in Engineering (preferably Electrical / Electronic), Computer Science / Information Technology or equivalent. Preferably 1-2 years of working experience in the related field. Fresh guard is welcome for apply. Proven experience in R&D related to computer vision, machine vision, or image processing. Candidate must possess knowledge in C++ or C#.NET programming. Knowledge in machine vision / image processing / motion control is an added advantage. Strong analytical and problem-solving skills. Possess positive work attitude, responsible, able to work independently, detail-oriented, initiative and good interpersonal skills. Benefits 5 working days, insurance coverage, professional training, company annual trip, fitness classes, decent pay, bonus, dynamic and cozy working environment. Interested candidates are welcome to apply with a comprehensive resume. We regret that only shortlisted candidates will be notified.
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.