{"id":1148623,"url":"https://alion.io/job/tenstorrent-physical-design-engineer-ml4pd","title":"Physical Design Engineer, ML4PD","company":{"id":48241,"name":"Tenstorrent","domain":"tenstorrent.com","url":"https://alion.io/company/tenstorrent","size_band":"1001-5000","is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":80,"open_postings":104,"ghost_share":0.25,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":75,"computed_at":"2026-09-24T05:45:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","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"],"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":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Edge AI","optional":false},{"name":"Perl","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-09-23T15:53:54Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-25T00:42:41Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"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.\nTenstorrent is looking for a mid- to senior-level Physical Design Engineer who will contribute to the physical design of high-performance chips for industry-leading AI/ML architectures, spanning implementation from synthesis through tapeout. You will partner with front-end and physical design engineers to optimize floorplanning, timing, power, performance, and area across multiple IPs. Along the way, you will build end-to-end ASIC expertise while learning from experienced engineers across the chip development process.\nThis role is hybrid, based out of Austin, TX, Fort Collins, CO, or Santa Clara, CA.\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\nAn engineer excited to work on high-performance designs for industry-leading AI/ML architectures.\nA collaborative problem solver who enjoys working with experienced engineers across ASIC disciplines.\nGrounded in logic design fundamentals and gate- and transistor-level implementation.\nCurious about how early architectural and RTL decisions shape physical implementation and final chip quality.\nWhat We Need\nA BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field, with strong logic design fundamentals.\nExperience with synthesis, place-and-route flows, and physical design tools, plus familiarity with timing, EM/IR, and power analysis.\nThe ability to contribute across floorplanning, clocking, I/O planning, timing closure, area improvement, and power optimization.\nStrong Tcl, Perl, Shell, and/or Python skills, along with knowledge of low-power techniques such as power gating, multi-Vt, and voltage scaling.\nWhat You Will Learn\nThe complete ASIC implementation lifecycle, from synthesis through signoff and tapeout.\nHow architecture, front-end design, and RTL decisions influence physical implementation outcomes.\nHow to develop flows and use experiments to optimize power, performance, and area.\nHow to build physical design expertise while collaborating with experts across advanced AI/ML silicon development.\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":4283,"description_truncated":false,"requirements":{"experience_years_min":null,"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":["Semiconductors","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-09-23T16:39:12Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":75,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-09-24T05:45:00Z"},"pay":{"stated_usd_annual":500000,"is_top_pay":true},"html_url":"https://alion.io/job/tenstorrent-physical-design-engineer-ml4pd","json_url":"https://alion.io/job/tenstorrent-physical-design-engineer-ml4pd.json","meta":{"generated_at":"2026-09-25T02:48:07Z","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":3010,"day_limit":5000,"remaining_today":1990,"minute_limit":60,"resets_at":"2026-09-26T00:00:00Z"}}}