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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. Tenstorrent is seeking a skilled Engineer to contribute to post-silicon power characterization and correlation activities for cutting-edge semiconductor products. In this role, you will help develop and execute power measurement strategies on silicon, analyze results against pre-silicon models, and support improvements across power architecture, design, and modeling methodologies. You will work closely with design, architecture, validation, and systems teams to help ensure silicon meets power and performance specifications under a range of operating conditions. This role is hybrid, based out of Toronto, ON. 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 A hands-on engineer with solid experience in silicon power analysis and characterization and a background in EE, CE, or a related field. Comfortable learning complex AI SoC architectures and power domains step by step, asking good questions and documenting what you learn. Confident in the lab using oscilloscopes, power measurement tools, and basic scripting (e.g., Python or MATLAB) to run and debug measurements. A collaborative communicator who enjoys working with senior engineers and turning data into clear updates and proposals. What we need Someone who will immerse in Tenstorrent’s AI SoC and power architecture and ramp on our tools, processes, and teams in the first 60 days. An engineer who can run defined power characterization tests, extend existing scripts and automation, and keep results organized and reproducible. A partner who helps expand coverage across key workloads and PVT points, and participates in debug for power anomalies with architecture, modeling, and validation. A contributor who supports end-to-end power correlation reports, bringing careful measurements and analysis that feed into recommendations and future ownership. What you will learn How Tenstorrent’s AI SoCs behave in real silicon across different workloads, operating conditions, and power domains, and how that ties back to pre-silicon assumptions. How our post-silicon infrastructure, lab tools, and automation stack are built, and how to extend them for new products and test scenarios. How cross-functional teams (architecture, modeling, validation, systems) collaborate to close power and performance gaps, and where your work fits into their roadmaps. How to grow from owning well-defined characterization tasks to driving larger correlation scopes and methodology improvements over time. 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.