Tenstorrent Inc. Logo

Tenstorrent Inc.

Early Talent Recruiter

Posted One Month Ago
In-Office
Toronto, ON, CAN
Entry level
In-Office
Toronto, ON, CAN
Entry level
Own university and early-career recruiting strategy for a site, including school selection, campus partnerships, events, sourcing, screening, interview coordination, offers, and closing. Manage intern, co-op, and new-grad hiring funnels while partnering with engineering managers to define candidate profiles and maintain hiring standards. Build new-grad recruiting processes, track funnel metrics in the ATS, and improve candidate experience and recruiting outcomes through data-driven decisions.
The summary above was generated by AI

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 building the future of AI compute, and this role will build the talent pipeline that makes it possible. As an Early Talent Recruiter, you will own university and early-career recruiting for your site, shaping which schools we invest in, building relationships with students and faculty, and leading intern, co-op, and new-grad hiring from first outreach through accepted offer. You will not simply run an existing campus calendar. You will decide where to focus, raise the quality of the funnel, and build the recruiting motion that our growing hardware and software teams need.

This role is hybrid, based out of Santa Clara, CA, Austin, TX, Boston, MA, Raleigh, NC, or 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

  • You have owned a full campus recruiting cycle, including school selection, university partnerships, sourcing, screening, interview coordination, offer management, and closing.
  • You use judgment and influence to partner with hiring managers, challenge assumptions when needed, and hold a clear hiring bar without relying on authority.
  • You work from funnel data and can connect measures such as applications, conversions, offer acceptance, and candidate experience to practical decisions.
  • You care about students and candidates at every stage, including high-volume seasons and difficult decisions, and you communicate with clarity and respect.

What We Need

  • Early Talent recruiter to own the university and early-career recruiting strategy for their countries, including the targeted partnership schools, campus calendar, relationships with career centers and student groups, and recruiting events.
  • Run the internship and build the direct new-grad funnels end to end, from sourcing and screening through interviews, offers, and acceptance.
  • Partner with hosting business leaders and the Early Talent Program Manager to define candidate profiles, calibrate what strong performance looks like, and make thoughtful decisions when seats are limited.
  • Contribute to the Tenstorrent Talent Brand by making a positive impression on early talent, even when we don’t hire, and nurturing those relationships long-term.

What You Will Learn

  • How to design high-impact campus strategies that connect school selection, candidate experience, and long-term hiring plans.
  • How to evaluate early-career talent for both near-term performance and long-term conversion potential.
  • Become fluent in semiconductor and AI technologies, learning to articulate complex concepts across Silicon design, RISC-V architectures, and ML software.
  • To leverage recruiting analytics to continuously improve decision-making, boost offer acceptance rates, and strengthen leadership partnerships.

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.

HQ

Tenstorrent Inc. Toronto, Ontario, CAN Office

Toronto, ON, Canada

Similar Jobs

3 Hours Ago
Hybrid
Internship
Internship
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Build and prototype AI-powered solutions, intelligent agents, automated workflows, data models, and Power BI dashboards for People Analytics. Extract and transform HR data using tools such as Power Query, Dataflows, Snowflake, and SQL. Apply Python, prompt engineering, and generative AI tools to improve HR insights, data access, decision-making, and employee experience while collaborating across HR and analytics teams.
Top Skills: Azure Ai FoundryChatgptClaudeCopilot StudioDataflowsGeminiGlean Work AiLarge Language ModelsMicrosoft CopilotPower BIPower QueryPythonSnowflakeSnowflake CortexSnowflake CoworkSQL
3 Hours Ago
In-Office
Expert/Leader
Expert/Leader
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Leads global commercial strategy for Ericsson Enterprise Wireless Solutions, overseeing pricing, subscription economics, portfolio profitability, value propositions, business-model innovation, and commercial governance. Partners with executive, product, sales, channel, finance, supply chain, and operations leaders to improve recurring revenue, win rates, margins, and customer value. Builds a global commercial management organization, develops scalable tools and processes, drives competitive intelligence, supports strategic deal shaping, and establishes enterprise standards for negotiation and price management.
Top Skills: Cloud ComputingSaaSTelecommunications
3 Hours Ago
In-Office
Expert/Leader
Expert/Leader
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Leads Ericsson’s Americas Automation Enablement function, defining AI, automation, data, and reporting roadmaps. Oversees a geographically dispersed team, prioritizes AI initiatives, scales proofs of concept into secure production services, and establishes governance for data quality, documentation, monitoring, responsible AI, and lifecycle management. Partners with global teams, suppliers, and matrixed stakeholders to improve network operations, profitability, tools strategy, and organizational transformation.
Top Skills: AIAi/MlAutomationDashboardsData ManagementNatural-Language InsightsReporting PlatformsWorkflow Automation

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account