{"id":2661285,"url":"https://alion.io/job/microsoft-senior-network-hw-system-engineer","title":"Senior Network HW System Engineer","company":{"id":18,"name":"Microsoft","domain":"microsoft.com","url":"https://alion.io/company/microsoft","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":75,"open_postings":116,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-15T05:46:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States","Washington, United States","Hillsboro, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":119800,"max":234700,"currency":"USD","period":"year","gross":null,"usd_annual":234700},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"HPC","optional":false},{"name":"OneDrive","optional":false},{"name":"Linux","optional":true},{"name":"TPU","optional":true}],"status":"live","first_seen_at":"2026-09-17T23:03:30Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-10-16T00:43:07Z","board_verified":true,"closed_at":null,"days_open":28,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":28},"description":"OverviewMicrosoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide and we are looking for passionate engineers to help achieve that mission.\nMicrosoft's Hardware Systems organization is developing AI-native silicon and system-level solutions to power the next generation of frontier AI models. The MAIA platform combines custom accelerators, advanced networking technologies, large-scale distributed infrastructure, and cloud-scale software to deliver industry-leading AI training and inference capabilities.\nThe Platform Systems Engineering (PSE) team is seeking a Sr. AI Network Systems Engineer to develop, integrate, validate, and deploy networking solutions for next-generation MAIA AI systems.\nThis role works at the intersection of networking hardware, custom silicon, AI infrastructure, and hyperscale systems. You will collaborate across architecture, silicon, firmware, hardware, software, validation, manufacturing, and Azure infrastructure teams to deliver high-performance scale-up and scale-out networking for AI training and inference platforms. The role spans switches, NICs, PHYs, MAC/PCS, high-speed SerDes, copper and optical interconnects, and rack-scale networking infrastructure.\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.\nResponsibilities\nAI Networking Architecture & System Development\nDevelop and integrate scale-up and scale-out networking solutions for MAIA AI training and inference systems.\n\nTranslate AI/ML workload requirements into system-level networking requirements.\n\nEvaluate architecture tradeoffs across performance, reliability, power, scalability, serviceability, and cost.\n\nNetwork Hardware Integration & Bring-Up\nDrive integration, bring-up, and qualification of switches, NICs, PHYs, MAC/PCS, SerDes, optics, cables, and backplane technologies.\n\nCollaborate across silicon, firmware, hardware, software, and OS teams to resolve complex integration issues.\n\nPartner with technology vendors, ODMs, and CMs through qualification and production readiness.\n\nAI Fabric Validation & Performance\nDevelop end-to-end validation strategies covering functionality, performance, scale, interoperability, reliability, and stress.\n\nCharacterize AI fabric performance including bandwidth, latency, link utilization, congestion behavior, and communication efficiency.\n\nDevelop validation methodologies for rack-scale and cluster-scale AI infrastructure.\n\nHigh-Speed Electrical & Optical Interconnects\nDrive qualification of next-generation electrical and optical networking technologies, including high-speed SerDes, copper interconnects, optical modules, and high-density connectivity.\n\nEvaluate technologies such as PAM4 SerDes, DAC/AEC, OSFP/QSFP-DD, advanced optical interconnects, LPO/LRO, CPO, and silicon photonics.\n\nAnalyze system-level tradeoffs across performance, power, reliability, signal/link integrity, and scalability.\n\nDebug, Telemetry & Automation\nLead root-cause analysis of complex networking issues across PHY, SerDes, MAC/PCS, switches, NICs, firmware, and system software.\n\nDevelop and improve telemetry, diagnostics, validation automation, and network health monitoring.\n\nUse lab characterization and system telemetry to drive issues to resolution and improve platform reliability.\n\nQualifications\nRequired Qualifications:\nMaster's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 3+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 5+ years technical engineering experience \nOR equivalent experience.\n\n5+ years of experience developing or validating networking, compute, storage, or accelerator hardware systems.\n5+ years of experience designing, integrating, validating, or troubleshooting Ethernet-based networking infrastructure, including switches, NICs, optics, PHYs, or high-speed SerDes technologies.\n5+ years of experience supporting AI, HPC, cloud, or large-scale data center infrastructure deployments.\nOther Requirements:\nAbility to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:\nMicrosoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.\n\nPreferred Qualifications:\nExperience with GPU, FPGA, TPU, or custom AI accelerator systems supporting AI/ML workloads.\n\nExperience with scale-up and scale-out AI networking and distributed AI infrastructure.\n\nElectrical networking expertise in areas such as 112G/224G SerDes, PAM4, MAC/PCS, FEC, link training, signal integrity, DACs, and AECs, or optical expertise in areas such as OSFP/QSFP-DD, AOCs, optical transceivers, optical link characterization, and diagnostics.\n\nFamiliarity with optical technologies such as DR4/DR8/FR4, optical link budgets, OMA, TDECQ, receiver sensitivity, LPO, LRO, CPO, or silicon photonics.\n\nUnderstanding of AI workload communication patterns, network collectives, traffic profiles, and congestion behavior.\n\nFamiliarity with IEEE Ethernet, OIF, CMIS, and emerging AI networking technologies.\n\nExperience with Linux, telemetry, diagnostics, scripting, test automation, and network qualification.\n\nExperience with hyperscale datacenter infrastructure and hardware development from prototype through production.\n\n#azure #MAIA #AI/ML #Networking Hardware\nHardware Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.\nCertain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:\nhttps://careers.microsoft.com/us/en/us-corporate-pay\nThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.\nMicrosoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. 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