{"id":1510331,"url":"https://alion.io/job/tenstorrent-forward-deployed-engineer","title":"Forward Deployed Engineer","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":89,"open_postings":100,"ghost_share":0,"stale_share":0.26,"repost_share":0,"time_to_fill_p50_days":78,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Solutions","role_family":"Solutions","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":["Tokyo, Japan"],"countries":["JP"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":67000,"max_usd":163000,"period":"year","method":"role_seniority_country_cell","sample_n":8},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Edge AI","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"SRE","optional":false},{"name":"CI/CD","optional":true},{"name":"Helm","optional":true},{"name":"HPC","optional":true},{"name":"Kubernetes","optional":true},{"name":"Linux","optional":true},{"name":"LLM","optional":true},{"name":"SGLang","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-09-30T07:21:01Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-01T07:20:28Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"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.\nWe’re looking for a Forward Deployed Engineer to own the technical outcome of the AI systems we build with our customers. You will work alongside customer engineering and operations teams to make complete systems work in production or near-production environments. This engineering role spans hardware and software integration, deployment, validation, automation, debugging, and ongoing operations. You will contribute production code, establish reliable operating procedures, and drive customer systems through resolution until they work as intended.\nThis role is Hybrid, based out of Tokyo, Japan.\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\nYou take ownership of customer outcomes across system integration, validation, production readiness, and ongoing operations.\nYou understand how accelerator compute, memory, and networking topology constrain AI workloads, and do not treat hardware as a black box.\nYou work directly with customer engineering and operations teams to understand their environments, constraints, and desired outcomes.\nYou are comfortable debugging across the inference stack and communicating technical trade-offs clearly with customer leadership and core engineering teams.\nWhat We Need\nStrong software engineering skills with 5+ years of relevant experience in applied engineering, machine learning engineering, MLOps, platform engineering, infrastructure engineering, or site reliability engineering.\nProficiency in Python; C++ experience is a plus.\nExperience turning ambiguous requirements into production-ready implementations, acceptance criteria, validation plans, and operating procedures.\nExperience with Kubernetes and Linux systems administration at multi-node, HPC, or AI-cluster scale, including Helm-based deployments, observability, infrastructure automation, CI/CD, release engineering, and LLM inference frameworks such as vLLM, SGLang, or Mooncake.\nBilingual who is native or business level Japanese with Business level English speaker.\nWhat You Will Learn\nHow co-design across AI hardware and software translates silicon capabilities into measurable latency and throughput gains.\nHow to operate disaggregated inference systems on Kubernetes while balancing performance, reliability, maintainability, and cost.\nHow to take enterprise AI deployments from requirements through integration, software delivery, validation, production readiness, and ongoing ownership.\nHow customer deployment and operational insights shape product improvements and platform direction.\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. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.","description_format":"text","description_chars":4352,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Japanese","level":"All levels","optional":false},{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","AI Chips & Accelerators","Semiconductor IP & Chip Design Services"],"lifecycle":[{"event":"open","at":"2026-09-30T07:43:23Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":78,"reasons":["conf:12","velocity","win:early","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/tenstorrent-forward-deployed-engineer","json_url":"https://alion.io/job/tenstorrent-forward-deployed-engineer.json","meta":{"generated_at":"2026-10-01T18:59:50Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1302,"day_limit":5000,"remaining_today":3698,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}