Tenstorrent at a glance
tenstorrent.com
Tenstorrent
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 seeking a skilled Software Engineer with a passion for building high-performance, low-level systems software. In this role, you’ll contribute to the development and optimization of the infrastructure that powers our cutting-edge processors, with a primary focus on C/C++ development and low-level programming. You’ll work closely with large inference and training model development to further drive Scale Out software and hardware performance.
This role is hybrid, based out of Toronto, ON.
Who You Are
- Strong C or C++ systems engineer with a deep understanding of memory, threading, I/O, and low-level execution models.
- Experienced building low-level software, drivers, embedded systems, or performance-critical infrastructure.
- Comfortable working close to hardware and curious about how systems behave under the hood.
- Proficient with Linux systems programming and debugging tools such as gdb, strace, and perf.
- Structured problem solver who thrives in fast-paced, highly technical environments.
What We Need
- Design, develop, and maintain core infrastructure software that interfaces directly with Tenstorrent hardware.
- Build low-level libraries and APIs for communication and synchronization across compute nodes.
- Optimize system-level software for performance, scalability, and reliability in distributed environments.
- Support hardware bring-up, system testing, and deployment in close collaboration with hardware and software teams.
- Integrate infrastructure components with internal programming models, tools, and runtime systems.
What You Will Learn
- The execution model and system architecture of Tenstorrent AI hardware.
- How distributed accelerator systems coordinate communication and synchronization at scale.
- Advanced techniques in system-level performance tuning across multiple layers of the stack.
- How low-level infrastructure, runtimes, and hardware co-evolve in high-performance AI platforms.
- The challenges of building reliable, production-grade infrastructure for large-scale AI workloads.
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.
To apply for this job please visit job-boards.greenhouse.io.
Explore Tenstorrent online
What people say about Tenstorrent
- Jim Keller's startup is building a factory to mass-produce small chip fabs
- Jim Keller's startup is building a factory to mass-produce small chip fabs
- Qualcomm Linux 2.0
- GLM 5.2 beats Claude in our benchmarks
Recent news
- Tenstorrent Unveils TT-QuietBox(TM) 2, the First RISC-V AI Workstation With a Fully Open-Source Stack to Deliver Teraflop-Class Inference - Enterprise News
- Jim Keller on Tenstorrent’s BlackHole Scaling and IPO Ambitions - EE Times
- Qualcomm's Tenstorrent Deal Looks Less Likely - Yahoo Finance
- Qualcomm considers acquiring AI chip firm Tenstorrent - Data Center Dynamics
- Tenstorrent - 2026 Funding Rounds & List of Investors - Tracxn
Aggregated from public discussions and news; opinions are the authors’ own.
Working in Toronto, Ontario
Toronto is the most populous city in Canada and the capital city of the Canadian province of Ontario. It is located on a harbour at the northwestern shore of Lake Ontario. The city is the fourth-most populous city in North America, behind Mexico City, New York City, and Los Angeles, with a census population of 2,794,356 as of 2021. The Greater Toronto Area (GTA) is constituted of Toronto proper and four surrounding regions, Peel, York, Durham, and Halton, and has a population of 6,712,341, while the Toronto census metropolitan area (CMA), with a somewhat different definition, has a population
Ontario is the southernmost province of Canada. Located in Central Canada, Ontario is the country's most populous province. As of the 2021 Canadian census, it is home to over 14 million people, which is 38.5% of the country's population. Ontario is the second-largest province by total area and the fourth-largest jurisdiction of all the Canadian provinces and territories. It is home to the nation's
Source: Wikipedia (state)
Market context
- Similar listings in Toronto, Ontario, Canada 1
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