{"id":2504136,"url":"https://alion.io/job/blaze-talent-neo-cloud-principal-hardware-systems-engineer","title":"Neo Cloud - Principal Hardware Systems Engineer","company":{"id":4421824,"name":"Blaze Talent","domain":"blazetalent.com","url":"https://alion.io/company/blazetalent","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Gem","truth_index":{"grade":"C","score":66,"open_postings":39,"ghost_share":0.564,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Hardware","role_family":"Hardware","seniority":"lead","employment_type":"full_time","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":250000,"max":400000,"currency":"USD","period":"year","gross":null,"usd_annual":400000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CoreWeave","optional":false},{"name":"Digital Twin","optional":false},{"name":"InfiniBand","optional":false},{"name":"NVLink","optional":false}],"status":"live","first_seen_at":"2026-10-06T13:23:53Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-26T08:29:52Z","board_verified":true,"closed_at":null,"days_open":19,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":19},"description":"Member of Technical Staff, Hardware Engineering\nLocation: Bay Area/ Seattle/ Remote\nReports to: CTO\nAbout Neo Cloud\nNeo Cloud is a fast growing next-generation AI neocloud, founded by ex NVIDIA, CoreWeave and Intel engineering leaders. We offer you the opportunity to build and operate next generation AI infrastructure that powers the world's most demanding AI workloads for the largest AI labs. We are rethinking how to run large scale AI infra for instance by leveraging agentic AI to build digital twins to derisk our physical deployments. Our agents are deploying and monitoring our fleet to maximize the uptime of our infra.\nAbout the Role\nWe're looking for a Principal Hardware Systems Engineer to design, deploy and manage Neo Cloud's AI hardware. This is a senior individual-contributor role for an experienced system architect who can operate at the intersection of customer needs, system architecture, and production operations - translating what AI/ML customers will need in the future, into a hardware design and operation at massive scale.\nKey Responsibilities\nIdentifying customer requirements\nEngage directly with customers, solutions architects, and product teams to understand future hardware requirements for AI/ML workloads.\nExtrapolate from current usage patterns and industry trends to anticipate future requirements.\nPartner with vendors and drive their roadmaps.\nHardware design, deployment, and operations:\nDesign, implement, and operate AI cloud hardware.\nArchitect, evaluate, and Deploy NVIDIA GPU infrastructure, including Blackwell-based B200, GB200, GB300, DGX and NVL rack-scale systems.\nDesign rack-scale infrastructure encompassing NVLink and NVSwitch fabrics, Infiniband or Spectrum-X Ethernet with RoCE for scale-out networking; power delivery, liquid cooling, cabling and serviceability.\nTake a system-level approach that accounts for the full characteristics of AI workloads, building end-to-end solutions.\nArchitect for the specific demands of AI workloads focusing on performance, security, resiliency and cost. \nDesign and implement consistent and efficient hardware operation. \nTake end-to-end ownership of hardware from design, supply chain planning, deployment, operation and ultimately deprecation. \nEnsure security and compliance. \nStrong debugging skills and analytical skills to identify failures across a variety of electrical, thermal, optical, mechanical and software failures. \nTechnical leadership:\nStrong bias to action and resolution of technical decisions. \nSet technical direction and best practices for the hardware organization; author and review design documents for significant architectural changes.\nProvide deep technical mentorship to senior and staff engineers; raise the engineering bar across the team through code review, design review, and hands-on collaboration.\nInfluence technical strategy across adjacent teams.\nQualifications\n10+ years of professional hardware engineering experience building and operating hardware at massive scale.\nDirect experience with AI-focused hardware deployments across different hardware vendors, including NVIDIA GPU platforms.\nExperience with NVIDIA BLackwell, GB200 or GB300 NVL72.\nExperience with NVLink, NVSwitch, InfiniBand or Spectrum-X Ethernet, ConnectX networking, and BlueField DPUs.\nDeep system level expertise. \nProven experience operating large-scale distributed systems in production, including on-call ownership, incident response, and driving systemic reliability improvements.\nStrong systems programming skills.\nExcellent written and verbal communication skills.\nCompensation\nThe base pay range for this role is $250,000 - 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