Tenstorrent
via Greenhouse
Software Engineer, TT-Distributed
Posted 512 days ago, which is unusual. The employer's own board was still carrying it when we last read it, 1 hour ago.
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 12h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 512d ago
The date the source published, not the day we noticed it (2025-04-21). Last seen at its source 1h ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
United States, Canada
The description states no restriction of its own. This is the source's own tag.
Pay
$100k–500k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
greenhouse employer's own board first seen 12d ago · last seen 1h ago
The listing
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 TT-Distributed Software Engineer, you will develop and optimize distributed software systems that power the most efficient and highest-performing AI and HPC clusters. In this role, you'll work on distributed programming across multiple nodes, utilizing systems programming, inter-node communication, and Tenstorrent’s scalable architectures to advance the state-of-the-art distributed inference and training infrastructure.
This role is hybrid, based out of Santa Clara, CA; Austin, TX; or Toronto, ON.
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
- Strong C or C++ engineer with solid foundations in systems programming, operating systems, and distributed systems principles.
- Enthusiastic about distributed computing, including IPC, socket programming, and cluster resource coordination.
- Comfortable reasoning about scalability, fault tolerance, and performance across multi-node environments.
- Curious and first-principles thinker who challenges conventional approaches to distributed system design.
- Motivated to grow into a deep technical expert in large-scale distributed AI infrastructure.
What We Need
- Architect, implement, and optimize distributed software systems that coordinate computation and communication across clusters of AI accelerators and CPUs.
- Design and build distributed APIs enabling data-parallel and tensor-parallel AI workloads.
- Leverage MPI-based technologies and related frameworks to scale programming models across multiple hosts and compute nodes.
- Develop robust systems using IPC, inter-node sockets, and distributed communication primitives to ensure reliability and high performance.
- Build and maintain testing, debugging, profiling, and monitoring tools for large-scale distributed workloads and collaborate with model and systems teams on cluster bring-up.
What You Will Learn
- How large-scale distributed inference and training systems are architected across thousands of accelerators.
- Advanced techniques in collective communication, synchronization, and parallel workload distribution.
- The performance characteristics of Tenstorrent hardware in multi-node cluster environments.
- How distributed programming models integrate with compilers, runtimes, and AI frameworks.
- The real-world challenges of deploying, debugging, and scaling next-generation AI clusters.
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.