{"id":3934062,"url":"https://alion.io/job/tenstorrent-aiml-physical-design-flow-engineer","title":"AI/ML Physical Design Flow 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":85,"open_postings":67,"ghost_share":0,"stale_share":0.403,"repost_share":0,"time_to_fill_p50_days":74,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Hardware","role_family":"Hardware","seniority":"senior","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","Fort Collins, United States","Santa Clara, United States"],"countries":["US"],"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":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Synopsys Fusion Compiler","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-04-03T18:56:04Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-11-12T17:06:01Z","board_verified":true,"closed_at":null,"days_open":223,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":223},"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.\nTenstorrent is seeking an Physical Design Engineer to lead cross-functional efforts to solve complex physical design challenges and develop end-to-end RTL-to-GDS methodologies across advanced nodes, with a strong focus on PPA and runtime improvements. The engineer will architect, integrate, and deploy AI/ML-driven solutions into production physical design flows, creating custom CAD tools and partnering with internal teams and EDA vendors to drive next-generation, ML-enabled capabilities. \nThis role is hybrid, based out of Santa Clara, CA or Austin, TX or Fort Collins, CO.\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\nBS in Electrical or Computer Engineering (or equivalent experience) with 5+ years in Physical Design CAD methodology at advanced nodes.\nProven track record improving PPA and/or runtime on high-performance, low-power taped-out designs.\nHands-on with industry-standard EDA tools (e.g., Fusion Compiler) across synthesis, P&R, STA, signoff, and hierarchical flows.\nStrong Python/Tcl and data skills, with interest or experience in ML frameworks (PyTorch, TensorFlow), and the ability to drive complex projects independently.\nWhat we need\nLead and contribute to cross-functional efforts solving complex physical design challenges across IPs, projects, and advanced technology nodes.\nDevelop and enhance RTL-to-GDS methodologies, including floorplanning, synthesis, P&R, STA, signoff, and assembly.\nArchitect and deploy AI/ML-driven solutions in production flows to improve engineering efficiency, turnaround time, and QoR.\nOptimize EDA tools and custom CAD flows using data-driven and ML-based techniques, in close collaboration with verification, extraction, timing, DFT, and EDA vendors.\nWhat you will learn\nHow to scale AI/ML-driven methodologies across diverse products and advanced technology nodes in real production flows.\nNew ways to blend classical EDA algorithms with modern ML techniques to push PPA and runtime limits.\nBest practices for deploying, validating, and monitoring ML models in production CAD environments.\nHow to influence next-generation ML-enabled EDA tools and collaborate deeply with cross-functional teams (PV, extraction, timing, DFT).\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 position requires access to technology that requires a U.S. export license for persons whose most recent country of citizenship or permanent residence is a U.S. EAR Country Groups D:1, E1, or E2 country. \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":4452,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"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":"2026-11-08T04:42:07Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 58 · green card filings: 4","filings_12m":58,"filings_prev_12m":53,"green_card_filings_12m":4,"median_offered_wage_usd":176210,"route":null,"cap_exempt":false,"checked_at":"2026-11-12T07:36:15+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":45}],"liveness":{"score":19,"band":"cold","label":"Long shot","p_open":1,"p_active":0.665,"p_room":0.28,"age_days":222,"expected_fill_days":74,"reasons":["conf:5","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-12T10:38:37Z"},"pay":{"stated_usd_annual":500000,"is_top_pay":true},"html_url":"https://alion.io/job/tenstorrent-aiml-physical-design-flow-engineer","json_url":"https://alion.io/job/tenstorrent-aiml-physical-design-flow-engineer.json","meta":{"generated_at":"2026-11-12T22:09:24Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":46796,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":48241},"rest":"https://alion.io/mcp/rest/get_company?id=48241"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftenstorrent-aiml-physical-design-flow-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftenstorrent-aiml-physical-design-flow-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftenstorrent-aiml-physical-design-flow-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/tenstorrent-aiml-physical-design-flow-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftenstorrent-aiml-physical-design-flow-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3934062}},{"tool":"search_jobs","arguments":{"company":"tenstorrent.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3934062},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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