Senior Software Engineer

Supermicro

. Architect, design, and develop scalable, high-performance software for AI networking products spanning Supermicro switches and NVIDIA/AMD GPU server fabrics .

Posted 9/15/2026full-timeSan Jose • California • United StatesSenior💰 $160,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting and developing high-performance software for AI networking products, with a strong focus on L2/L3 networking protocols, network operating systems, and telemetry. Proven ability to lead technical engagements, mentor teams, and establish engineering standards in a dynamic environment.

Highest-signal resume keywords

L2/L3 Networking ProtocolsNetwork Operating Systems (SONiC)Go and Python ProficiencyHigh-Performance NetworkingNetwork Telemetry (gNMI, gNOI)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software ArchitecturePerformance TuningDebugging (Firmware, Driver, OS)ASIC-Level DebuggingREST API DesignData ModelingMachine Learning Dataset DesignTelemetry Pipeline ArchitectureLifecycle ManagementTechnical Leadership

Soft Skills

Interpersonal SkillsCommunication SkillsSelf-ManagementMultitaskingMentoring

Tools & Technologies

Linux/UnixDockerAnsibleGitPrometheus/GrafanaAI Agent FrameworksBroadcom SDKSFlowIPFIXVXLAN

Industry Keywords

AI Networking ProductsSwitch ASICsNetwork Controller SoftwareGPU Cluster FabricsOperational Readiness

Tech Stack

Tools & technologies

AnsibleDockerGrafanaLinuxPrometheusPythonRedisSwitchingUnixC++Go

About the role

Key responsibilities & impact

Architect, design, and develop scalable, high-performance software for AI networking products spanning Supermicro switches and NVIDIA/AMD GPU server fabrics
Own end-to-end technical design of on-switch agent software and integrated management services, including APIs, data models, deployment, upgrades, and lifecycle management
Lead customer technical engagements involving design, coding, bring-up, performance tuning, failure analysis, and production hardening
Improve performance, reliability, and debuggability across AI clusters through telemetry, metrics, and automated diagnostics
Architect ASIC-level and platform telemetry pipelines from switch silicon through fabric-wide analytics
Define structures, labels, and enrichment for telemetry, counters, logs, and events used by AI agents and diagnostic workflows
Partner with Product Management, program management, and cross-functional teams to turn customer and market requirements into technical roadmaps
Establish engineering standards for design and code review, testing, documentation, and operational readiness
Mentor engineers and expand team expertise in network operating systems, switch software, and fabric-scale diagnostics
Evaluate new technologies and AI-assisted approaches to improve development efficiency, diagnostics, and operational workflows

Requirements

What you’ll need

Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field (or equivalent experience)
8+ years of relevant industry experience, including technical leadership across complex systems
Deep knowledge of L2/L3 networking protocols and management protocols
Experience with network operating systems such as SONiC and switching platforms such as Broadcom or Marvell
Proficiency in Go and Python; C/C++ is a plus
Experience debugging across firmware, driver, OS, and application layers
Experience in high-performance networking and system-level debugging, including packet drops, retransmissions, congestion, QoS, ordering, telemetry, and buffer management
Hands-on experience with switch ASICs, ideally Broadcom (BCM), and abstraction or SDK layers such as SAI, syncd, or vendor SDKs
Experience with ASIC counters, resource tables, and silicon-level debugging
Strong background in network telemetry, including gNMI, gNOI, OpenConfig, sFlow, IPFIX, or in-band telemetry
Experience designing datasets for machine consumption
Familiarity with AI/LLM agent integration is a strong advantage
Strong experience with Linux/Unix operating systems, containers, and REST API design
Excellent interpersonal, communication, and self-management skills
Ability to multitask in a dynamic environment with shifting priorities and changing requirements
RDMA, RoCE, VXLAN, GPU cluster fabrics, or network controller software expertise is an added advantage
Nice to have: Docker, Ansible, Git, Redis, Prometheus/Grafana, and AI agent frameworks

Benefits

Comp & perks

Comprehensive benefits package
Potential eligibility for bonus programs
Potential eligibility for equity award programs