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Introduction We are seeking a highly skilled and detail-oriented Software QA Engineer to join our dynamic team at EdgeCortix. In this role, you will play a critical part in ensuring the quality and reliability of our AI/ML software and hardware products through comprehensive testing, automation, and infrastructure maintenance. This is an excellent opportunity to contribute to cutting-edge AI innovation in a rapidly growing deep-tech startup that is redefining edge computing worldwide. About Edgecortix At Edgecortix we are a deep-tech startup revolutionizing edge computing with artificial intelligence and novel high-efficiency silicon-on-chip design. Originating from multiple years of research, our unique AI hardware & software co-exploration engine and Dynamic Neural Accelerator TM AI processor IP are geared towards positively disrupting the rapidly growing artificial intelligence edge hardware space and bringing the power of AI and machine learning to all kinds of devices. The Team As a team, we are working to define and solve the hardest problems in AI including computer vision, speech, and natural language, geared towards real-time capabilities on small to medium-form factor devices. We originated out of multiple years of research, as such at our core we value learning, intellectual curiosity, and self-starters. We have the ambitious goal of enabling cloud-level performance with significantly better energy efficiency for AI inference at the edge. Your Role and Responsibilities Develop, improve, and execute test cases and test automation for qualifying software releases and our AI/ML IPTroubleshoot, root cause, and report software/hardware/infrastructure issuesCollaborate with other function teams to ensure a deep understanding of the requirements, process, product, features, and system functionalityCreate and review test reports, problems, and product documentation artifactsMonitor and maintain the server infrastructure, hardware reference boards, tools, Jenkins pipelines, . and other essential software & QA infrastructureKeep up with the changes in requirements and technologies adopted by customers and product development teams (new AI frameworks, models, tools, software, . )Team development, leadership and cross-training activities Minimum Qualifications 5-10 years of experience in testing, test automation development, and working with test frameworksExperienced(2+ years) and proficient in Python scripting and Python packagesExposure to Embedded software/hardware product test cyclesDeep understanding of software development and test processes and management practicesExperience in working with Linux server infrastructure, Dockers/Kubernetes, handling sensitive hardware equipment/reference boards and tools, and ESD practicesExperienced in working with GIT, Jenkins pipeline development with Groovy, software release cycPreferred Qualifications Bachelor's in Computer Engineering, Computer Science, and/or Electrical EngineeringKnowledge of C, C++, Ruby, Shell scripting, . is a plusExposure into AI/ML model development, training & inference is highly desirable. Understanding the basics of Deep Learning, Tensorflow, Keras, or Pytorch based AI model developmentExperience working in an Agile environment and collaborating with multidisciplinary teams across different time zonesAttitude to pursue problems, troubleshoot in different ways, and bring them to resolutionExperience in creating test reports and data visualization with tools such as GrafanaMake a difference: you will have the opportunity to join a well-funded fabless AI semiconductor startup that is disrupting the AI software and hardware co-design space. Be an integral part of its growth and momentum.Benefits and Perks Highly competitive salary and stock optionsFlex work time and ability to work in Hybrid modelSupport for obtaining visa and relocation support (in the case of Japan) .
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.