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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 building large-scale AI infrastructure across on-prem data centers and accelerator clusters. This role focuses on automation of provisioning, configuration, and deployment workflows to ensure systems are scalable, reliable, and repeatable.
This role is hybrid in Toronto, ON; Austin, TX; or Santa Clara, CA.
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
- Experienced in infrastructure automation, DevOps, or systems engineering in large-scale environments.
- Strong hands-on expertise with Ansible and AWX, including playbooks, roles, and automation workflows.
- Proficient in Python, Bash, or similar scripting languages for automation and tooling.
- Comfortable with Linux systems administration and debugging infrastructure issues.
- Familiar with networking fundamentals and CI/CD systems in distributed environments.
What We Need
- Design and maintain automation frameworks using Ansible and AWX for infrastructure provisioning and configuration.
- Build and manage playbooks, roles, inventories, and job templates for scalable system deployment.
- Automate infrastructure across compute nodes, networking components, and system services.
- Integrate automation workflows with internal tooling and CI/CD pipelines.
- Troubleshoot automation pipelines and collaborate with SRE and infrastructure teams on large-scale deployments.
What You Will Learn
- How large-scale AI infrastructure is provisioned and managed across accelerator clusters.
- How automation frameworks scale across complex on-prem and hybrid environments.
- How infrastructure automation integrates with CI/CD and deployment pipelines.
- How distributed systems are configured, deployed, and maintained at scale.
- How operational efficiency is achieved through automation in high-performance environments.
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.
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Tenstorrentについて

Tenstorrent
Series CTenstorrent is a semiconductor company that develops AI accelerator chips and software for machine learning workloads. The company focuses on creating scalable processor architectures for data centers and edge computing applications.
201-500
従業員数
Toronto
本社所在地
$2.6B
企業価値
レビュー
3.8
10件のレビュー
ワークライフバランス
3.2
報酬
2.8
企業文化
4.1
キャリア
3.4
経営陣
4.0
72%
友人に勧める
良い点
Supportive management and strong leadership
Great team culture and fantastic colleagues
Cutting-edge technology and challenging projects
改善点
Heavy workload and frequent overtime
Fast-paced and stressful environment
Below industry standard salary
給与レンジ
24件のデータ
Staff/L6
Staff/L6 · Staff Field Application Engineer
1件のレポート
$261,520
年収総額
基本給
$201,323
ストック
-
ボーナス
-
$261,520
$261,520
ニュース&話題
Former Tenstorrent Execs Launch AI& to Build Japan’s Full-stack AI Infrastructure - EE Times Asia
EE Times Asia
News
·
2w ago
Ex-Tenstorrent Execs Start Cloud Provider, AI Lab in Japan - EE Times
EE Times
News
·
3w ago
Interview with Toloka CEO (in Russian)
If you happen to understand Russian, here is a 2h interview with Toloka CEO Olga Megorskaya. Few things that I noted: * Industry is called Human Data, the biggest competitor is Scale AI. Basically they know how to produce human-generated data of a high quality that is used to train/post-train AI. These days it's a highly skilled people, sometimes with PhDs or many years of experience, but humans are unreliable, don't follow instructions, etc. - so it is a challenge to produce high quality data
·
3w ago
·
28
·
7
These AI Workstations Look Like PCs but Pack a Stronger Punch - IEEE Spectrum
IEEE Spectrum
News
·
4w ago