- Location
- Toronto, Ontario, Canada
- Workplace
- Remote, Hybrid
- Department
- DC Deployment
- Source
- Greenhouse
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.
As our AI infrastructure continues to scale, we're looking for a Network Engineer to help design, deploy, and operate the networking backbone powering Tenstorrent's global AI compute infrastructure. You'll play a critical role in ensuring the reliability, performance, and scalability of our data center networks while partnering closely with hardware, systems, and software teams to support next-generation AI clusters.
This role is hybrid, based out of Toronto, Canada.
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 designing, deploying, and operating large-scale data center networks using modern leaf-spine architectures with strong Layer 2/Layer 3 networking expertise (BGP, EVPN-VXLAN, OSPF, TCP/IP).
- Hands-on experience with enterprise networking platforms including Arista (EOS), Dell (SONiC), Cisco (IOS-XE), Fortinet firewalls, and lossless Ethernet fabrics for RDMA (RoCEv2, PFC, ECN, DCQCN).
- Proven ability to troubleshoot complex production network issues across switches, routers, firewalls, and distributed infrastructure with a focus on reliability and performance.
- Skilled in network automation using Python, Ansible, Terraform, or similar tools to improve operational efficiency and scalability.
What We Need
- Design, deploy, and manage Tenstorrent's global data center network infrastructure supporting AI accelerator clusters and production environments.
- Configure, maintain, and troubleshoot switches, routers, firewalls, and high-speed network fabrics to ensure reliable, high-performance operations.
- Collaborate with hardware, platform, DevOps, and infrastructure teams to support new cluster deployments, network expansions, and performance optimization.
- Build scalable, secure, and highly available network architectures while driving automation, operational best practices, and continuous improvements in network provisioning and management.
What You Will Learn
- Gain hands-on experience building and operating networking infrastructure for next-generation AI accelerator systems and large-scale compute clusters.
- Develop expertise in high-performance data center networking technologies, including AI fabrics, high-speed Ethernet, and cloud connectivity.
- Collaborate with world-class hardware, ASIC, firmware, and software engineers to solve complex infrastructure challenges and shape the networking architecture powering Tenstorrent's AI platforms.
- Build scalable automation, monitoring, and operational processes that improve the reliability, performance, and scalability of global AI infrastructure.
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.
