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Sr. AI Network Systems Engineer

Teknik, data och digitalt · Mjukvaru- och webbutveckling · Mjukvaruutveckling · Inbyggda system

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Microsoft SCHIE is seeking a Sr. AI Network Systems Engineer to develop, integrate, validate, and deploy networking solutions for next-generation MAIA AI systems. This role involves working at the intersection of networking hardware, custom silicon, AI infrastructure, and hyperscale systems to deliver high-performance networking for AI training and inference platforms.

Ansvarsområden

  • Develop and integrate scale-up and scale-out networking solutions for MAIA AI training and inference systems.
  • Translate AI/ML workload requirements into system-level networking requirements.
  • Evaluate architecture tradeoffs across performance, reliability, power, scalability, serviceability, and cost.
  • Drive integration, bring-up, and qualification of switches, NICs, PHYs, MAC/PCS, SerDes, optics, cables, and backplane technologies.
  • Collaborate across silicon, firmware, hardware, software, and OS teams to resolve complex integration issues.
  • Partner with technology vendors, ODMs, and CMs through qualification and production readiness.
  • Develop end-to-end validation strategies covering functionality, performance, scale, interoperability, reliability, and stress.
  • Characterize AI fabric performance including bandwidth, latency, link utilization, congestion behavior, and communication efficiency.
  • Develop validation methodologies for rack-scale and cluster-scale AI infrastructure.
  • Drive qualification of next-generation electrical and optical networking technologies.
  • Analyze system-level tradeoffs across performance, power, reliability, signal/link integrity, and scalability.
  • Lead root-cause analysis of complex networking issues across PHY, SerDes, MAC/PCS, switches, NICs, firmware, and system software.
  • Develop and improve telemetry, diagnostics, validation automation, and network health monitoring.
  • Use lab characterization and system telemetry to drive issues to resolution and improve platform reliability.

Krav

  • Master'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 OR equivalent experience.
  • 5+ years of experience developing or validating networking, compute, storage, or accelerator hardware systems.
  • 5+ years of experience designing, integrating, validating, or troubleshooting Ethernet-based networking infrastructure, including switches, NICs, optics, PHYs, or high-speed SerDes technologies.
  • 5+ years of experience supporting AI, HPC, cloud, or large-scale data center infrastructure deployments.
  • Ability to meet Microsoft, customer and/or government security screening requirements.
  • Must pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Önskade kvalifikationer

  • Experience with GPU, FPGA, TPU, or custom AI accelerator systems supporting AI/ML workloads.
  • Experience with scale-up and scale-out AI networking and distributed AI infrastructure.
  • Electrical 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.
  • Familiarity with optical technologies such as DR4/DR8/FR4, optical link budgets, OMA, TDECQ, receiver sensitivity, LPO, LRO, CPO, or silicon photonics.
  • Understanding of AI workload communication patterns, network collectives, traffic profiles, and congestion behavior.
  • Familiarity with IEEE Ethernet, OIF, CMIS, and emerging AI networking technologies.
  • Experience with Linux, telemetry, diagnostics, scripting, test automation, and network qualification.
  • Experience with hyperscale datacenter infrastructure and hardware development from prototype through production.

Förmåner

  • Certain roles may be eligible for benefits and other compensation.
  • Equal opportunity employer.
  • 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.
#azure#MAIA#AI/ML#Networking Hardware
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Företag

Microsoft

Publicerade jobb

för 1 dag sedan

Anställningstyp

Heltid

Arbetsform

Hybrid

Erfarenhetsnivå

Senior

Platser

United States

Kvalifikation

Masterexamen, Kandidatexamen

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