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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Want to be part of the leading edge of AI hardware? Tenstorrent is looking for a Component Engineer who is passionate about selecting the right parts, driving cost optimization, and ensuring critical components are available to support scalable AI compute systems. This role sits at the intersection of hardware design, supply chain strategy, and vendor management, helping ensure we can deliver cutting-edge AI platforms without delays from component shortages or supply chain risk. This role is on-site, based out of Santa Clara, California or Toronto, Canada. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You’re interested in how hardware systems get built end-to-end and like working close to the components that make high-performance computing possible. You have 5+ years of experience in component engineering, hardware engineering, or supply chain roles within computing, networking, or complex electronic systems, supported by a degree in electrical engineering or a related field. You have a strong understanding of key electronic components, such as semiconductors, memory, power, passives, and connectors and you care about both technical performance and real-world availability. You’re comfortable working through tradeoffs like cost, performance, and supply risk, and you enjoy collaborating with cross-functional engineering and supply chain teams to find practical solutions. What We Need A partner to help shape the component foundation for next-generation AI compute systems by defining and maintaining the Approved Vendor List (AVL) and driving smart multi-sourcing strategies that keep programs moving. An engineer who will work closely with hardware, supply chain, and procurement teams to ensure the right components are selected, not just for performance, but for cost efficiency, availability, and long-term scalability. Someone who thrives on staying ahead of component lifecycle changes, market shifts, lead times, and supplier health, turning that insight into proactive risk mitigation and better design decisions. A contributor who will directly impact cost and supply optimization by identifying savings opportunities, improving sourcing strategies, and enabling smooth transitions through fast-moving product lifecycles. What You Will Learn How next-generation AI hardware platforms are built from the ground up, from early architecture decisions through component selection, validation, and large-scale production readiness. How strategic component choices and supply chain decisions directly influence the performance, cost, reliability, and scalability of advanced compute systems. How to collaborate across engineering, procurement, and supplier ecosystems to evaluate new technologies, qualify components, and help shape long-term hardware roadmaps. How to develop deep, practical expertise in managing supply risk, lifecycle transitions, and cost optimization in a fast-paced environment where hardware decisions have real-world impact. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
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.