{"id":176061,"url":"https://alion.io/job/tenstorrent-software-engineer-tt-distributed","title":"Software Engineer, TT-Distributed","company":{"id":48241,"name":"Tenstorrent","domain":"tenstorrent.com","url":"https://alion.io/company/tenstorrent","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":88,"open_postings":83,"ghost_share":0,"stale_share":0.277,"repost_share":0,"time_to_fill_p50_days":77,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Austin, United States","Toronto, Canada","Santa Clara, United States"],"countries":["US","CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100000,"max":500000,"currency":"USD","period":"year","gross":null,"usd_annual":500000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Edge AI","optional":false},{"name":"HPC","optional":false},{"name":"MPI","optional":false},{"name":"C","optional":true}],"status":"live","first_seen_at":"2025-04-21T02:20:26Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-18T04:49:38Z","board_verified":true,"closed_at":null,"days_open":545,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":544},"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.\nAs 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.\nThis role is hybrid, based out of Santa Clara, CA; Austin, TX; or Toronto, ON.\nWe 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.\nWho You Are\nStrong C or C++ engineer with solid foundations in systems programming, operating systems, and distributed systems principles.\nEnthusiastic about distributed computing, including IPC, socket programming, and cluster resource coordination.\nComfortable reasoning about scalability, fault tolerance, and performance across multi-node environments.\nCurious and first-principles thinker who challenges conventional approaches to distributed system design.\nMotivated to grow into a deep technical expert in large-scale distributed AI infrastructure.\nWhat We Need\nArchitect, implement, and optimize distributed software systems that coordinate computation and communication across clusters of AI accelerators and CPUs.\nDesign and build distributed APIs enabling data-parallel and tensor-parallel AI workloads.\nLeverage MPI-based technologies and related frameworks to scale programming models across multiple hosts and compute nodes.\nDevelop robust systems using IPC, inter-node sockets, and distributed communication primitives to ensure reliability and high performance.\nBuild and maintain testing, debugging, profiling, and monitoring tools for large-scale distributed workloads and collaborate with model and systems teams on cluster bring-up.\nWhat You Will Learn\nHow large-scale distributed inference and training systems are architected across thousands of accelerators.\nAdvanced techniques in collective communication, synchronization, and parallel workload distribution.\nThe performance characteristics of Tenstorrent hardware in multi-node cluster environments.\nHow distributed programming models integrate with compilers, runtimes, and AI frameworks.\nThe real-world challenges of deploying, debugging, and scaling next-generation AI clusters.\nCompensation 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.\nTenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.\nThis 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. 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