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Tenstorrent200–500 employees

Recruiter

Santa Clara, CA$100,000 – $177,000Posted yesterday

Immigration summary

Visa sponsorship

LikelyLow confidence

This employer sponsors, but not for roles like this one.

56 recent H-1B filings

View visa evidence

Green card sponsorship

Limited historyLow confidence

There is real but limited green card sponsorship history here.

1 recent certified PERM filing

View green card evidence

Job description

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 hiring full time and contract recruiters. We're looking for people who own searches rather than fill them. You would carry a portfolio spanning hardware, AI software and go-to-market, and own each search from the hiring manager intake through the accepted offer: the spec, the level call, the market read, what the loop tests, and the close. When you think the bar is wrong, you'll have direct influence with the hiring team to make a change.

This is a generalist seat. In a given quarter you might be hiring silicon design and verification, compiler and ML framework engineers, and a go-to-market leader. Deep expertise in all three is not the expectation and nobody here has it. What the role requires is getting to a defensible read in territory you do not know: what to ask, whose judgment to borrow, and what you will not conclude on your own.

This role is remote, with global opportunities.

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 form your own view of a candidate. You read what someone actually built, shipped, taped out or carried, and you can say which parts of a profile are outside your judgment and how you would get to an answer.
  • You would rather give a hiring manager unwelcome news early than manage around it. You have changed someone's mind about a bar using evidence, without any authority over the decision.
  • You are comfortable being the least domain-expert person in the room and still producing a read people can act on.
  • You build the mechanism. When a loop is not working, you fix what it tests rather than only how it runs.

What We Need

  • You have owned searches end to end, from intake to accepted offer, in more than one domain. Technical and go-to-market both count. We care about the range, not the logo.
  • You have closed senior candidates who held a better-paying offer, and you can say what they wanted that was not money.
  • You can turn a vague hiring manager need into a written spec with a level call and a stated trade, and you re-open the must-haves when the level or the budget moves instead of quietly lowering the target.
  • You watch a small number of numbers on your own searches, and you have changed course because of one.

What You Will Learn

  • How a hardware company that actually ships makes hiring decisions, from silicon through go-to-market.
  • How to read primary evidence about deeply technical people: what a tapeout history, a repository or a paper actually tells you about depth.
  • How to design an interview loop and a scorecard a busy panel will hold to, and run a debrief that can decide.
  • How to build recruiting process while the systems around it are still being rebuilt, which is a different skill from operating a finished one.

Compensation for this role ranges from $100,000 to $177,000 base, plus equity and a bonus target. 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.

Sponsorship evidence

Why Openbound reached the conclusions above.

Visa sponsorship evidence

Current posting

Silent on sponsorship

Employer H-1B history

56
recent certified H-1B filings
47
new-hire petitions
0
filings for similar roles
63
so far in FY2026
More evidence details
  • 56 recent certified H-1B filings across the employer
  • Still filing this year — 63 filings in FY2026
  • 1 USCIS H-1B new-employment approval, counted separately from LCA filings
  • Strong filing activity in CA
  • 17 further USCIS approvals for extensions or transfers
  • We checked 53 filing titles for this employer and none describe work like this role
  • The posting says nothing about sponsorship either way

Strong filing activity in CA.

Green card sponsorship evidence

Employer PERM history

1
recent certified PERM filings
0
filings for similar roles
1
filings in this location
Certified PERM filings by fiscal year
20232
20241
20251
20264YTD

Filing history reflects past employer behavior; it isn't a promise for this opening.

All open roles at Tenstorrent
How Openbound evaluates sponsorship

Visa history uses official U.S. Department of Labor H-1B LCA disclosure data and USCIS H-1B petition history. Green card history uses DOL PERM disclosure data. Each is read for the employer as a whole, for roles like this one, and for this location, weighted toward the most recent fiscal years.

An employer is matched to its filing entities by verified legal name and reviewed aliases; a match is never made on a name resemblance alone. Where no verified entity can be matched, the page says so and draws no conclusion from the absence. 53 filing titles were examined for this employer.

What this posting states outranks history in both directions, and an employer's published policy outranks past filings. Filing history reflects past behavior; it is not a promise of sponsorship for this opening, and none of this is legal advice.