{"id":2527847,"url":"https://alion.io/job/linkedin-staff-engineer-hardware-reliability","title":"Staff Engineer, Hardware Reliability","company":{"id":13163,"name":"LinkedIn","domain":"linkedin.com","url":"https://alion.io/company/linkedin","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":20,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":156000,"max":255000,"currency":"USD","period":"year","gross":null,"usd_annual":255000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"InfiniBand","optional":false},{"name":"Linux","optional":false},{"name":"CUDA","optional":true},{"name":"CUDA Toolkit","optional":true},{"name":"HPC","optional":true},{"name":"Kubernetes","optional":true},{"name":"Machine Learning","optional":true},{"name":"NCCL","optional":true}],"status":"live","first_seen_at":"2026-08-03T19:39:06Z","employer_posted_date":"2026-08-03","last_verified_at":"2026-10-16T18:45:42Z","board_verified":true,"closed_at":null,"days_open":74,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":74},"description":"LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.\nJoin us to transform the way the world works.\n At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.\nThis role will be based in Sunnyvale, CA.\nWe are looking for a highly skilled, self-motivated Staff Engineer to join our Hardware Capacity Engineering (HCE) team and help us scale and sustain the infrastructure that powers LinkedIn. HCE qualifies, integrates, and operates the full range of hardware in our on-prem data centers , such as general-purpose compute, GPU/accelerator, storage, and networking platforms, across a large-scale, multi-vendor, multi-generation fleet. This role spans both bringing new platforms into production and keeping our existing fleet healthy, performant, and reliable, backed by the software, firmware automation, and fleet-health systems the team builds.\nIn this role, you will identify requirements and the best-suited hardware platform or solution, integrate that solution into our on-prem data center environment, and help operate and continuously improve the existing fleet at scale. You will build software and automation that make the fleet observable, performant, and reliable, and partner closely with SRE, software engineering, AI/ML, and hardware vendors.\nResponsibilities\nCollaborate with LinkedIn engineering teams to collect requirements for LinkedIn applications and provide guidance on selecting the best-suited hardware platforms and solutions across general-purpose compute, GPU/accelerator, storage, and networking.\nDesign test environments and testing scenarios; benchmark compute, storage, and power (e.g., SPEC, SPECpower, etc) and provide detailed analysis of qualification and performance results for varied audiences, including engineers and senior leadership.\nQualify and integrate new server platforms and components end-to-end, working with hardware vendors on optimal configurations and driving the full integration process.\nWork jointly with other teams on cost and TCO analysis for proposed solutions, present them to decision makers, and define SLAs and technical standards with partner teams.\nQualify BIOS, BMC, and component firmware. Drive fleet-wide upgrade programs.\nSupport and improve the reliability of our existing large-scale, diverse fleet including fault detection and remediation, firmware management, and OS and security compliance.\nDesign, build (AI-assisted) and own automation for hardware qualification, provisioning, lifecycle, and fleet health monitoring and telemetry analysis.\nContribute to AI/ML infrastructure performance and reliability of GPU platforms, InfiniBand/RDMA as part of the team’s broader scope.\nTroubleshoot complex hardware, firmware, kernel, and platform issues across the fleet, and lead critical production incident response.\n Basic Qualifications\nBS in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.\n6+ years of experience working in Linux-based infrastructure, systems, or hardware engineering.\n4+ years of experience with hardware troubleshooting, systems engineering, and performance analysis.\nExperience developing software or automation (AI-assisted or otherwise) for infrastructure at scale.\nPreferred Qualifications\nExperience with x86 server architecture and multi-vendor hardware, BMC/BIOS and firmware (IPMI/Redfish).\nExperience qualifying and integrating new hardware platforms and operating them across a large-scale, diverse, multi-generation fleet.\nExperience with hardware provisioning, imaging/OS, and lifecycle or inventory systems\nExperience building fleet health, observability, or reliability tooling (fault detection, SMART and telemetry analysis, data-driven thresholds).\nExperience benchmarking with common tools such as SPEC, SPECpower, fio, unixbench, and similar.\nExperience with storage devices and performance engineering (NVMe/SSD/HDD) and/or distributed/parallel filesystems (GPFS, HDFS).\nExperience with GPU/accelerator platforms and the ML training stack (NCCL/collective communications, CUDA) and high-performance networking (InfiniBand/RDMA, RoCE).\nExperience with Kubernetes and containerized workloads.\nExperience working with hardware vendors on both designing a solution and troubleshooting issues.\nDemonstrated experience putting together summary reports and visual presentations of the results of benchmarks and performance tests for technical and executive audiences.\nFamiliarity with HPC/Machine Learning environments and solutions.\nSuggested Skills\nLinux\nHardware Qualification & Integration\nFirmware / BMC (BIOS, IPMI/Redfish)\nFleet Reliability & Observability\nLinux Performance (Compute, Storage, IO)\nGPU / AI Infrastructure\nYou will Benefit from our Culture:\nWe strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.\nLinkedIn is committed to fair and equitable compensation practices.\nThe pay range for this role is $156,000 to $255,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.\nThe total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.\n Equal Opportunity Statement\nWe seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.\nLinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.\nIf you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation.\nFill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36\nReasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:\nDocuments in alternate formats or read aloud to you\nHaving interviews in an accessible location\nBeing accompanied by a service dog\nHaving a sign language interpreter present for the interview\nA request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.\nLinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.\nSan Francisco Fair Chance Ordinance\nPursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.\nPay Transparency Policy Statement\nAs a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.\nGlobal Data Privacy Notice and Compliance Posters for Job Candidates\nPlease use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.","description_format":"text","description_chars":9414,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Flexible schedule","Wellness"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Job Boards & Aggregators","Professional Networks"],"lifecycle":[{"event":"open","at":"2026-10-14T12:24:37Z"}],"visa":[],"liveness":{"score":15,"band":"cold","label":"Long shot","p_open":1,"p_active":0.55,"p_room":0.28,"age_days":73,"expected_fill_days":20,"reasons":["conf:0","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-16T05:45:00Z"},"pay":{"stated_usd_annual":255000,"is_top_pay":true},"html_url":"https://alion.io/job/linkedin-staff-engineer-hardware-reliability","json_url":"https://alion.io/job/linkedin-staff-engineer-hardware-reliability.json","meta":{"generated_at":"2026-10-16T22:20:02Z","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":3929,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":13163},"rest":"https://alion.io/mcp/rest/get_company?id=13163"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flinkedin-staff-engineer-hardware-reliability"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Flinkedin-staff-engineer-hardware-reliability"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Flinkedin-staff-engineer-hardware-reliability"},{"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/linkedin-staff-engineer-hardware-reliability\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flinkedin-staff-engineer-hardware-reliability"}]}