{"id":205177,"url":"https://alion.io/job/anthropic-hardware-systems-architect","title":"Hardware Systems Architect","company":{"id":5,"name":"Anthropic","domain":"anthropic.com","url":"https://alion.io/company/anthropic","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":169,"ghost_share":0,"stale_share":0.852,"repost_share":0.006,"time_to_fill_p50_days":49,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Hardware","role_family":"Hardware","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":320000,"max":485000,"currency":"USD","period":"year","gross":null,"usd_annual":485000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"Claude","optional":false},{"name":"HPC","optional":true},{"name":"InfiniBand","optional":true},{"name":"Interpretability","optional":true},{"name":"Multimodal AI","optional":true},{"name":"TPU","optional":true}],"status":"live","first_seen_at":"2026-08-05T01:15:18Z","employer_posted_date":"2026-08-21","last_verified_at":"2026-10-21T05:03:16Z","board_verified":true,"closed_at":null,"days_open":77,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":77},"description":"About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\nAbout the role\nAnthropic trains and serves frontier AI models on some of the largest and most diverse accelerator fleets in the world, and the hardware those models run on is one of the most direct levers we have on capability, cost, and reliability. Our Hardware Systems team owns the system-level architecture of that compute - from the package boundary out through boards, racks, interconnect, power, cooling, and the datacenter interface.\nWe're hiring senior hardware systems architects and technical leads who can work broadly across the hardware stack and go deep where it's needed, and who have the judgment to make and own directional calls - what to build, what to buy, what to co-design with a partner. You'll set architecture, write the specs that partners and internal teams build against, and own the validation and qualification strategy that proves the result.\nThe skillsets we need span power, cooling, mechanical, interconnect, signal integrity, data and control plane, system management, reliability and serviceability - applied across networking, compute, storage, and accelerator systems.\nYou'll work closely with our ML performance, infrastructure software, supply chain, and datacenter teams, and directly with hardware vendors and partners across the stack. And because this is Anthropic, you'll have Claude as a genuine collaborator - we expect this team to push on what AI-assisted hardware design and review can look like.\nKey responsibilities\nOwn system path-finding and architecture for your domain across the breadth of compute Anthropic deploys - from concept and requirements through spec, design review, and deployment - and act as a reviewer and thought partner across the others.\nWrite and own high-level requirements and specifications - system, board, interface, rack - that partners and internal teams build against.\nReview partner and vendor designs against our requirements, make the build / buy / co-design calls with supply chain and partnership teams, and surface misalignment or schedule risk early enough to act on it.\nDrive the interconnect and networking architecture that ties our systems together - scale-up and scale-out fabrics, NICs and switches, optics, and topology.\nDrive board-, chassis-, and system-level architecture with our partners - major component placement, PCB architecture, connector and cable design, and power and thermal budgeting - at the chassis, rack, and data-hall level.\nDevelop performance simulations, hardware models, and \"what-if\" scenarios to evaluate and choose between candidate hardware architectures.\nDefine validation, bring-up, and qualification strategy for new platforms - including the telemetry and reliability targets they need to hit in the fleet - and track the technology roadmaps and vendor landscape that shape what we deploy in the short and long term.\nPartner with ML performance and infrastructure software teams so hardware decisions land well for the workloads that actually run on them.\nHelp shape how hardware engineering operates at Anthropic - develop and apply AI-assisted approaches to design, spec review, and validation; establish review forums, spec standards, and partner engagement.\nMinimum qualifications\nDeep, hands-on expertise in at least one core hardware-systems domain (e.g., interconnect, power, thermal) for large-scale compute or networking systems.\nExperience owning hardware system architecture at scale - machine, rack, row, and cluster - and authoring specifications and requirements.\nExperience taking hardware from architecture through bring-up and high-volume production deployment.\nExperience working with external hardware vendors and partners - reviewing their designs and holding them to a specification.\nAbility to reason about trade-offs across adjacent hardware domains (e.g., interconnect ↔ power ↔ thermal ↔ mechanical) rather than within a single one.\n Track record of technical leadership - owning directional decisions and their consequences, and driving alignment across teams and partners.\nComfort operating with high autonomy and limited process in a fast-moving, ambiguous environment.\nStrong written communication - you'll write specs and reviews that many teams depend on.\nPreferred qualifications\n8+ years in hardware systems architecture or engineering for hyperscale, HPC, AI/ML, or high-end networking platforms.\nExperience with AI accelerator systems (GPU, TPU, or other custom ASIC platforms) and their scale-up / scale-out fabrics.\nFamiliarity with the chip-package-system interface and co-design.\nExperience establishing a new function, program, or engineering practice.\nComfort working with - and curiosity about pushing - AI tools as part of an engineering workflow.\nDegree in EE, CE, ME, CS, or a related field, or equivalent experience.\nDepth in one or more of:\nHigh-speed SerDes, PCIe/CXL, Ethernet/InfiniBand, and optical interconnect.\nBMC and platform firmware, hardware root of trust, and secure boot.\n48V/HVDC power delivery and direct liquid cooling.\nFleet-scale reliability engineering and RAS architecture.\nSignal and power integrity.\nRepresentative projects\nDefine the scale-up and scale-out interconnect architecture for a next-generation training platform, from link budget and topology through switch / NIC / optics selection and the bring-up and validation plan.\nArchitect the management and control plane for a new hardware system: BMC and host control, power / reset sequencing, secure boot and attestation, and the telemetry surface the fleet needs.\nOwn the rack-level power and thermal architecture for a liquid-cooled accelerator rack, and the interface spec between that rack and the datacenter that hosts it.\nBuild the reliability model and RAS strategy for a multi-thousand-node fleet - failure budgets, derating policy, telemetry requirements, and serviceability targets - and drive the design changes that hit them.\nRun the technical evaluation of a partner's proposed system design against our requirements, write up where it falls short, and drive the changes end to end.\nPrototype an AI-assisted workflow for partner design review and spec consistency checking, and put it to work on a live platform.\nThe annual compensation range for this role is listed below. \nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\nAnnual Salary:\n$320,000—$485,000 USD\nLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.\nYour safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit anthropic.com/careers directly for confirmed position openings.\nHow we're different\nWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. 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