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About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon. Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise. Key Responsibilities Define, plan, and implement block and system level verification strategies Write and review test plans, develop test harnesses and test sequences Drive the design verification process to successful closure by meeting defined verification metrics across the test plan, functional coverage, and code coverage Collaborate closely with the Design team to debug, root-cause, and resolve functional failures within the design Work collaboratively with cross-functional teams, including Design, Model, Emulation, and Silicon Validation, to ensure the highest standards of design quality Minimum Qualifications Bachelor's degree in Electrical Engineering, Computer Science, or a closely related technical field 5+ years of experience in block and system level verification utilizing SystemVerilog/UVM-based methodologies Proven experience with Electronic Design Automation (EDA) tools and proficiency in scripting languages (Python, Perl, Shell) for developing verification tools and flows Experience in architecting and deploying Design Verification infrastructure, including executing the complete verification cycle from planning to closure Preferred Qualifications Master’s degree in Electrical Engineering, Computer Science, or a closely related technical field Expertise in developing UVM-based verification environments from initial setup Expertise in developing Python-based verification environment such as cocotb Experience in IP or integration verification for high-speed interfaces such as PCIe, UCIe, UALink, and Ethernet Experience verifying ARM/RISC-V-based sub-systems or SoCs Strong Python programming skills Excellent written and verbal communication skills Contact recruit@furiosa.ai
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.