Job ID : 43810

Systems Intern - PEY

Tenstorrent Inc - Toronto
JOB POSTING INFORMATION
Position Type: Professional Experience Year Co-op (PEY Co-op: 12-16 months)
Job Title: Systems Intern - PEY
Job Location: Santa Clara, CA (USA)
Job Location Type: On-Site
If working on site, can you provide a copy of your COVID-19 safety protocols?: Yes
Number of Positions: 1
Salary: Salary Not Available, 40.0 hours per week
Start Date: 05/06/2024
End Date: 09/26/2025
Job Function: Engineering
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 Cloud team is looking for a talented individual with solid software development experience and interest in applying your skills to develop Cloud platform services and tools. You will be working in a highly interdisciplinary team whose responsibilities span from physical data center hardware deployment to ML application development.

Responsibilities
Software development, integration and scripting
Infrastructure automation such as application and server provisioning
Developing observability capabilities such as monitoring, logging, and alerting
Collaborate with cross-functional teams to gather requirements and translate them into scalable cloud solutions
Monitor and troubleshoot cloud systems and applications
Participate in code reviews, ensuring high-quality code and adherence to best practices.
Job Requirements: Qualifications
Solid working knowledge of Python is required, experience with Django and frontend technologies is a plus (TypeScript, React, GraphQL)
Practical knowhow of Git
Experience in RESTful API integrations
Familiar with some infrastructure automation tools like Ansible, Chef, Puppet, etc.
Experience with observability, monitoring and alerting tools such as Grafana, Prometheus, Loki etc.
Experience working with Docker is required, experience with Kubernetes and virtual machines is a plus
Solid working understanding of the Linux command line
Experience working with Cloud infrastructure i.e. AWS, GCP, Azure etc. is a plus
Knowledge and experience provisioning using network boot like PXE and HTTP boot is a plus
Strong problem-solving skills and ability to think critically
Excellent written and verbal communication skills
Preferred Disciplines:
Computer Engineering
Computer Science
Electrical Engineering
Engineering Science (Electrical and Computer)
Engineering Science (Machine Intelligence)
All Co-op programs: No
Targeted Co-op Programs:
Targeted Programs
Professional Experience Year Co-op (12 - 16 months)
APPLICATION INFORMATION
Application Deadline: Nov 1, 2023 11:59 PM
Application Receipt Procedure: Employer Website
If by Website, go to: https://jobs.lever.co/tenstorrent/d12708c6-6096-4dac-b3c6-055eb27c8e70
Additional Application Information: Please provide a copy of your unofficial transcripts as part of your application. 
We are available to assist with J1 Visa sponsorship to enable your PEY in the US. 

Note from your PEY Co-op Coordinator:  Past and current PEY co-op students have shared over-all positve feedback about this company. Lots of challenges ; lots of learning; excellent mentors. Don't miss!

If applying to this role please select "I intend to apply" before heading to the organizations website.
 
U of T Job Coordinator: Ryan Hand
ORGANIZATION INFORMATION
Organization: Tenstorrent Inc
Division: Toronto
ADDITIONAL INFORMATION
Length of Workterm: FLEXIBLE PEY Co-op: 12-16 months (range)
TAGS
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