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A leading cloud-native networking firm is seeking a Product Manager focused on network management and orchestration for AI/HPC GPU fabrics. In this remote role, you will drive the development of innovative solutions, enhance network efficiency, and collaborate with top industry professionals. The ideal candidate will have over 10 years of experience in the networking sector and strong problem-solving skills.
WFH-Remote role - Must be Central or Eastern Time Zone
DriveNets is a leader in cloud-native networking software for hyperscalers and service providers who are building the largest infrastructures in the world for network services, AI platforms and SaaS offerings. Founded in December 2015, DriveNets disrupted some of the most challenging high-scale markets, transforming the way Networks are built, scaled, and consumed. We also built the largest network in the world, with more than half of AT&T’s backbone running on DriveNets’ Network Cloud. DriveNets has raised $587 million in three funding rounds which enable us to dream big and bring on the most talented people.
The role
DriveNets is seeking aProduct Manager focused on Switch network management and orchestration of AI/HPC GPU fabrics networkto be a key member of our Product Management team. Join a dynamic and forward-thinking company at the forefront of network transformation. We leverage advanced technologies to develop innovative solutions that drive efficiency, scalability, and exceptional network performance. Collaborate with the industry’s best as we partner with hyperscalers, emerging NeoClouds , and enterprises building AI/HPC GPU fabrics, shaping the future of GPU Ethernet interconnect. Our environment fosters creativity, teamwork, and growth, and offers you the opportunity to make a meaningful impact while working on groundbreaking projects.
AsaProduct Manager focused on Network Management and Orchestration, you will drive the development of roadmap strategy and features that streamline network deployment, monitoring, troubleshooting, and more. Your work will directly impact the efficiency and performance of diverse GPU clusters, enabling operation at scale with greater uptime, utilizationand reliability
Responsibilities
Requirements
What we need to see:
Ways to stand out from the crowd:
· Low-level technicalexpertise inData Centeror high-end enterprise network design and features (e.g.BGP, EVPN, VXLAN, QoS, Multicast)
· 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 ofAI/HPCnetworking infrastructuresolutions, their advantages and disadvantages (AI/HPCnetworkingdesign, high-speed interconnect technologies)
· Scale-up – NVLink, UALink, Scale-up Ethernet (SUE), etc
· Scale-out – Ethernet and Enhanced Ethernet (Scheduled Ethernet, dynamic load balancing and adaptive routing, Spectrum-X, UEC, etc), InfiniBand
· Understanding of data center operationsfundamentals 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.
EDUCATION
If your experience is close but doesn’t fulfill all requirements, please apply. DriveNets is on a mission to build a special company comprised of individuals with different backgrounds, perspectives, and experiences.