AI SW Intern, Cloud, Infrastructure & Data Centre Deployment

Tenstorrent University Jobs; Austin, Santa Clara (TX, CA); On-site; USD 104,000 - 146,000; Part time

Job summary

Tenstorrent University Jobs is offering an on-site internship in Austin or Santa Clara focused on cloud infrastructure and data center deployment for AI workloads.

Ideal candidates are pursuing BS/MS/PhD in CS/CE, eager to build scalable infrastructure, scripts, and automation with Python, Bash, and Ansible. Exposure to Kubernetes and CI/CD is a plus, with compensation ranging based on experience.

Qualifications

• Pursuing BS, MS, or PhD in Computer Science, Computer Engineering, or related field.
• Comfortable with Linux and infrastructure concepts.
• Ability to write applications or tooling in Python, Bash, or similar.
• Familiar with infrastructure automation tools such as Ansible and CI/CD workflows.
• Basic understanding of CI/CD pipelines and deployment processes.

Responsibilities

• Develop ML and cloud infrastructure to run AI workloads at scale.
• Automate cluster setup and health checks; troubleshoot servers, Linux, and networks.
• Build CI/CD pipelines, containerized test environments, and Kubernetes deployments.
• Collaborate to match applicants to best team and location.
• Learn how data centers become production-ready AI compute environments.

Skills

Linux

Python

Bash

CI/CD

Networking

Distributed systems

Education

BS/MS/PhD in Computer Science or Computer Engineering

Tools

Ansible

Kubernetes

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.

Overview: This team keeps Tenstorrent's AI systems running in production at scale — bringing compute clusters online, building the pipelines that ship our software, and getting models serving reliably on our hardware.

What you might work on: This posting spans multiple teams within Software: Cloud computing, Infrastructure/DevOps & Data Centre (DC) Deployment. One application, one recruiter screen — then we match you to the specific team (below) and location that fits best.

• Cloud and data infrastructure: Develop the ML & cloud infrastructure that gets AI workloads running on hardware at scale.
• DC Deployment: Automate cluster setup and health checks using Ansible/AWX, and troubleshoot server, Linux, and network issues.
• Infrastructure: Build CI/CD pipelines, containerized test environments, Kubernetes deployments and release automation for multi-host execution.

This role ison-site, based out of Austin or Santa Clara.

Who You Are

• Currently pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, or a related field.
• Interested in understanding how servers, networks, operating systems, and distributed systems come together in large-scale environments.
• Excited about building custom tools, programs, and new infrastructure solutions, rather than relying only on off-the-shelf systems.

What We Need

• Comfortable working with Linux and interested in infrastructure, networking, automation, and distributed systems.
• Able to write useful applications, services, automation or tooling in Python, Bash, or another programming language.
• Familiar with infrastructure automation concepts and tools such as Ansible, or interested in developing deeper experience with them.
• Have a basic understanding of CI/CD pipelines and software deployment workflows.

What You Will Learn

• How a new data center becomes a production-ready AI compute environment.
• How infrastructure automation is designed, tested, and operated across large fleets of physical systems.
• How continuous integration uses real accelerator hardware to validate changes across platforms and configurations.
• How containers, build artifacts, packages, releases, and installation workflows turn source code into usable software.

USA Hiring Timelines

This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:

• Fall Term: Sept–Dec work term, Jan–Aug recruit.

Please note these timelines are for reference only. Actual timelines may vary.

Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr 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.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Tenstorrent University Jobs’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A \"disabled veteran\" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A \"recently separated veteran\" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An \"active duty wartime or campaign badge veteran\" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An \"Armed forces service medal veteran\" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.