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Rohan Paul· @rohanpaul_ai · X· · Original publication time AI score34

Colare announces $2.5 million pre-seed fundingMachine translation

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Colare says it has raised $2.5 million in pre-seed funding and uses simulation-based tasks to assess hardware engineering candidates. Candidates work in job-relevant tools before an interview, while hiring teams can review results across the candidate pool.

Original post · AI translation

@rohanpaul_ai
Translation · refer to the original

非常有意思的初创公司

https://t.co/ZuxOSISXY8

ReplyRohan Paul@rohanpaul_ai
Translation
招聘 1 名硬件工程师大约需要占用资深工程师 50 小时的时间。 测试实际工作能力的环节却排在最后。 看来 @colareai 正在把这项测试提前。 候选人在浏览器中使用 CAD、PCB 和 FEA 工具完成实际工作,全程接受监考;工程师为该特定岗位制定评分标准,对候选人的取舍、推理过程以及最终设计进行评分。 祝贺 @esthxrtho 和 @nain_abdi 获得 250 万美元的种子前融资。
Original

Hiring 1 hardware engineer takes roughly 50 hours of senior engineering time. The rounds that test the real job come last. Looks like @colareai is moving that test to the front. Candidates do real work in CAD, PCB and FEA tools in the browser, proctored, and get scored on their trade-offs and reasoning as well as the final design, against rubrics engineers built for that specific role. Congrats on the $2.5M pre-seed, @esthxrtho and @nain_abdi.

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Related contextEsther Thomas@esthxrtho
Translation
我们筹集了 250 万美元的种子前融资,以解决硬件人才招聘难题。 要知道一名工程师能否胜任工作,最可靠的办法就是看他们实际工作。 在硬件领域,要大规模做到这一点一直几乎不可能。 Colare 提供基于模拟的测评,让招聘方在安排任何面试之前,就能看到候选人如何在他们入职后会使用的工具中实际开展工作。 我们的测评涵盖: - 机械(CAD、DFM、FEA) - 电气(PCB、原理图) - 系统 - 制造等更多领域。 候选人从第一性原理出发解决问题。 招聘团队可以了解整个候选人群体在这方面的表现,因此工程师只需面试已经达到标准的人。 我们已经在与各种客户合作,从种子轮初创公司到估值数十亿美元的航空航天制造商都有。 如果你正在招聘硬件工程师,欢迎联系我们: https://t.co/QGXxlg0QVh
Original

We’ve raised a $2.5M pre-seed to fix hardware hiring. The most reliable way to know if an engineer can do the job is to watch them work. In hardware, that’s been almost impossible to do at scale. Colare runs simulation-based assessments that show how candidates actually work, in the tools they’d use on the job, before anyone books an interview. We assess across: - Mechanical (CAD, DFM, FEA) - Electrical (PCB, schematics) - Systems - Manufacturing, & more. Candidates solve problems from first principles. Hiring teams see that across their whole pool, so engineers only interview people who’ve already cleared the bar. We're already working with everyone from seed-stage startups to multi-billion-dollar aerospace manufacturers. If you’re hiring hardware engineers, let’s talk: https://t.co/QGXxlg0QVh

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Source: Rohan Paul · x.com

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