Designs and deploys AI/HPC networking infrastructure for customers, including Linux GPU systems, network fabrics, rack layouts, automation, monitoring, and data center upgrades. Supports service reliability, performance optimization, and lifecycle operations. Partners with sales, engineering, support, and customers on solution design, requirements, deployments, product feedback, technical content, training, and roadmap planning. Requires strong data center networking, solution architecture, communication, and customer-facing skills, with up to 20% domestic and international travel.
Description
Requirements
Location: US
WFH-Remote role with travel to customers
#LI-Remote
DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI Fabric delivers full-stack networking for AI infrastructures, providing the highest-performance, Ethernet-based alternative to InfiniBand. The solution is deployed by hyperscalers, NeoClouds, and enterprises worldwide. With over $1B raised, DriveNets continues to push the boundaries of modern networking infrastructure.
What you’ll be doing:
- Building robust AI/HPC infrastructure for new and existing customers.
- Technical hands-on role in building and supporting NVIDIA/AMD based platforms.
- Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, training stability, real-time monitoring, logging, and alerting.
- Administer Linux systems, ranging from powerful GPU enabled servers to general-purpose compute systems.
- Design and plan rack layouts and network topologies to support customer requirements.
- Design and evaluate automation scripts for network operations, configuring server and switch fabrics.
- Perform Data Center upgrades and ensure smooth deployment of DriveNets solutions.
- Install and configure DriveNets products, ensuring optimal performance and customer satisfaction.
- Maintain services once they are live by measuring and monitoring availability, latency, and overall system health.
- Engage in and improve the whole lifecycle of services from inception and design through deployment, operation, and refinement.
- Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.
- Engage with sales teams and customers to ensure success with major opportunities and deployments
- Introduce new products to the DriveNets’ sales and support teams and to DriveNets’ customers
- Deliver technical trainings and TOIs for support/sales engineers, partners, and customers
- Collaborate on product definition through customer requirement gathering and roadmap planning
Requirements
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields, or equivalent experience.
- 7+ years of network engineering (system/solution) experience.
- 7+ years of solution architecture/sales engineering experience, or equivalent, working for a vendor, value-added reseller, or system integrator.
- Technical expertise in Data Center or high-end enterprise network design (e.g. BGP, EVPN, VXLAN, QoS, Multicast)
- Expertise with datacenter design, including networking, compute, and storage.
- Ability to write extensive technical content (white papers, technical briefs, etc.) for external audiences with a balance of technical accuracy, strategy, and clear messaging
- Ability to multitask efficiently in a multifaceted environment, ability to work with teams across geographical locations.
- Clear written and oral communication skills with the ability to effectively collaborate with executives and engineering teams.
- Ability to travel domestic and international up to 20% of the time.
- Be Kind!
Ways to stand out from the crowd:
- Familiarity with AI-relevant data center infrastructure and networking technologies such as: Infiniband, RoCEv2, lossless Ethernet technologies (PFC, ECN, etc), accelerated computing, GPU, NIC, DPU, etc.
- Understanding of AI/HPC networking infrastructure solutions, their advantages and disadvantages (AI/HPC networking design, high-speed interconnect technologies)
- Scale-up – NVLink, UALink, etc
- Scale-out – Ethernet and Enhanced Ethernet (Scheduled Ethernet, dynamic load balancing and adaptive routing, Spectrum-X, UEC, etc), InfiniBand
- Backend storage connectivity
- Understanding of data center operations fundamentals in networking, cooling, and power
- Familiarity with monitoring tools (e.g., Prometheus, Grafana, ELK Stack) and Telemetry (gRPC, gNMI, OTLP, etc).
- Proven experience with one or more Tier-1 Clouds (AWS, Azure, GCP, or OCI) or emerging Neoclouds, as well as cloud-native architectures and software.
More About DriveNets
Based in Israel with locations in Romania, US, India and Japan as well as extended teams, DriveNets operations cover more than twelve countries. With recognition by industry analysts and through partnerships with market leaders such as AMD, Broadcom, Dell and others, DriveNets is pushing market momentum, delivering the scale and efficiency that modern AI workloads demand. Visit our website:
https://drivenets.com/company/
Similar Jobs
Cloud • Healthtech • Professional Services • Software • Pharmaceutical
Hands-on technical leader who designs, builds, and deploys production-grade AI automation and agentic workflows. Responsibilities include rapid prototyping, RAG and document-intelligence systems, API integrations, orchestration, monitoring, reusable AI assets, and mentoring a small engineering team to deliver frequent releases and measurable business impact.
Top Skills:
AWSAzureClaude CodeCodexGCPGeminiLangchainLanggraphLlamaindexNotebooklmPythonRagVector Databases
Artificial Intelligence • Fintech • Software • Travel
Leads cross-functional strategy execution across corporate travel divisions, coordinating operating rhythms, online booking tool needs, contracts, client issue resolution, process improvements, and reporting to the CEO. Acts as a liaison between Options Travel and Engine, influences senior stakeholders without direct authority, and supports partner-network and global-fulfillment initiatives.
Top Skills:
Ai-Native Travel PlatformOnline Booking Tool (Obt)
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Designs and deploys threat intelligence capabilities across enterprise security tooling. Integrates TIPs, SIEM, SOAR, EDR, and intelligence feeds; builds automated pipelines, detection mechanisms, enrichment workflows, and response playbooks. Develops integrations, orchestrates security tools, and applies AI, LLMs, and RAG to accelerate intelligence processing. Provides technical leadership for CTI, SOC, incident response, threat hunting, fraud, insider risk, and red-team teams.
Top Skills:
Active DirectoryAnomaliAWSAzureBashCentosCi/CdCortex XsoarDockerEdrElasticElasticsearchFirewallsGCPGitGoIbm QradarIds/IpsJavaJavaScriptJSONKafkaKaliLinuxLlmsmacOSMcpMicrosoft SentinelMispNdrNode.jsOpenctiPowershellPythonRagRest ApisRhelSIEMSoarSparkSplunkSplunk SoarStixSwimlaneTaxiiThreatconnectTinesUbuntuWindows ServerXdr
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
