Lead end‑to‑end engineering of Dell networking products and solutions for data center and AI fabric environments.
Locations (2)
Chennai, Tamil Nadu, India
Bangalore, Karnataka, India
Responsibilities
Lead the end‑to‑end engineering of Dell networking products and solutions for data center and AI fabric environments
Collaborate with platform, silicon, software, validation, solutions, and customer‑facing teams to deliver next‑generation Dell Enterprise SONiC capabilities
Own complex networking features from requirements and architecture through validation and delivery of production‑quality Dell Enterprise SONiC software
Architect and deliver large‑scale data center and AI fabric capabilities on Dell PowerSwitch platforms
Troubleshoot complex system, scalability, performance, and customer issues across the control plane, data plane, SAI, and switch ASIC layers
Seeking a Senior Technical Product Manager to engage hyperscalers, network equipment manufacturers (NEMs), silicon vendors, and AI data center operators on the validation of high-performance data center network fabrics.
Compensation
California pay range: MIN $153,090 - MAX $255,150
Responsibilities
Serve as trusted technical advisor to hyperscalers, NEMs, silicon vendors, and AI data center operators, leading technical discussions and architecture reviews on AI data center network validation.
Define and document test methodologies for AI data center testing, covering congestion behavior (ECN, PFC, RoCEv2), throughput, tail latency, load balancing, adaptive routing, and collective communication workloads.
Plan and drive proofs of concept (PoCs) with customers, working with Product Managers, Sales, and field engineers to define success criteria, execute tests, analyze results, and present findings.
Deliver technical presentations and live demonstrations of Keysight hardware and software solutions to customers, partners, and executive audiences.
Represent Keysight in industry organizations such as the Ultra Ethernet Consortium, Ethernet Alliance, and OCP, and at tradeshows, interoperability events, and plugfests, contributing to emerging test methodologies and standards.
Requirements
Bachelor’s or Master’s degree in Electrical Engineering
Design and develop processes, tooling and machines to support the manufacture of component and cable assemblies in all manufacturing WCs.
Responsibilities
Using CAD software (Solidworks), design all mechanical elements of tooling and equipment used to produce low to potentially high-volume Connector assemblies for Assembly processes that the company uses Globally.
Interface with Product Design engineers to understand key features and agree on assembly sequences.
Interface with manufacturing personnel to understand current and future manufacturing capability.
Actively participate in product and tooling design review meetings.
Prioritize and respond to tooling-related quality problems.
Requirements
Bachelor of Science Degree in Mechanical Engineering
Provide technical support to the Quality Engineering team by performing inspections, driving defect resolution, supporting corrective action efforts, and contributing to continuous improvement initiatives.
Compensation
The hourly pay range for this role is $19.76 - $35.58.
Responsibilities
Inspect, measure, and test mechanical, electrical, and electromechanical components and assemblies.
Support production by ensuring CMMs operate efficiently and performing preventative maintenance to minimize downtime.
Conduct CMM inspections, surface plate measurements, and hard gage inspections.
Maintain records of technical data related to materials, tools, fixtures, and processes.
Perform in-process inspections and audits, logging results for later analysis.
Design, develop, and validate AI networking solutions using Dell PowerSwitch, Dell Enterprise SONiC, NVIDIA, AMD, and other leading technologies; create reference architectures and validated designs for Scale-Out, Front-End, and management networks
Design and validate high-performance Ethernet fabrics for AI training and inference workloads, including RoCEv2, RDMA, and advanced congestion management
Lead solution integration, interoperability testing, performance benchmarking, and resiliency validation across GPU servers, networking, and storage platforms
Collaborate with Dell engineering teams and technology partners to troubleshoot complex networking issues, optimize solution performance, and evaluate emerging networking technologies
Develop architecture diagrams, validated designs, test plans, and performance reports while supporting customer demos, proof-of-concepts, and technical engagements
Requirements
Bachelor's degree in Computer Science, Computer Engineering, or a related field (or equivalent experience) plus networking certifications such as CCNP, CCIE, or equivalent
Nice to have: AI infrastructure
Nice to have: GPU clusters
Nice to have: distributed AI training or inference workloads
Essential Skills
High-Performance Networking:
InfiniBand Mastery: Deep operational knowledge of NVIDIA Quantum InfiniBand switches, cable types (NDR/HDR), and troubleshooting commands.
AI Ethernet (RoCEv2): Solid understanding of RDMA over Converged Ethernet (RoCEv2), including the configuration of PFC and ECN on switches (Spectrum/Arista/Cisco/Juniper).
Fabric Management: Experience with NVIDIA UFM (Unified Fabric Manager) for managing large-scale fabrics.
Automation & Tools:
NetDevOps: Proficiency in Ansible for network automation (e.g., ansible-networking collections).
Linux Networking: Comfortable navigating Linux CLI to troubleshoot host-side networking (ip link, tcpdump, sysctl tuning).
Protocol Knowledge: Practical implementation skills in BGP, EVPN, and VXLAN for multi-tenant AI clouds.
Desirable Experience
Cisco AI Integration: Experience with Cisco Nexus Dashboard or Cisco 8000 series in an AI context.
DPU Configuration: Experience configuring NVIDIA BlueField DPUs and working with the DOCA framework.
Optical Networking: Ability to interpret transceiver signal levels (DOM/DDM) to diagnose Layer 1 optical faults.
AI Fabric Orchestration: Experience deploying and managing AI clusters using Netris or Cisco Nexus Hyperfabric AI to automate fabric provisioning and operations.
Certifications
Highly Desirable:
NVIDIA-Certified Professional: AI Networking (NCP-AIN)
NVIDIA-Certified Associate: AI Infrastructure and Operations (NCA-AIIO)
Cisco Certified Network Professional (CCNP) Data Center
Success Metrics (KPIs)
Fabric Efficiency: Achieving >95% effective bandwidth efficiency on NCCL-test benchmarks across the provisioned cluster.
Layer 1 Accuracy: Zero "ghost links" or unstable connections handed over to the Compute team (all bad cables identified during the burn-in phase).
Ticket Velocity: Consistently meeting SLAs for network-related support tickets.
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