Network Systems Engineer - Data Center AI Network Engineer Job at Duo Security (Bangalore)

AI Cluster & Data Center Design Engineer

We are seeking a highly skilled systems engineer to architect and design scalabl...

Location

United States , Austin

Salary:

139440.00 - 209160.00 USD / Year

AMD

Expiration Date

Until further notice

Requirements

Experience in HPC, AI infrastructure, or data center systems engineering
Strong understanding of rack and data center power delivery
Knowledge of GPU/CPU architectures, PCIe, UALink, InfiniBand, and Ethernet networking
Familiarity with AI/ML frameworks and workload characteristics
Excellent problem-solving, communication, and documentation skills
Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science or related field

Job Responsibility

Design scalable AI/HPC clusters including compute, storage, and networking with specific focus on power delivery
Evaluate and select CPUs, GPUs, accelerators, interconnects, and memory configurations for optimal cluster performance
Design leading-edge power delivery solutions for high-density AI/GPU deployments
Define power budgets, redundancy schemes, and fault tolerance mechanisms
Design network topologies to maximize overall cluster performance
Understand the network performance needs of different types of workloads
Understand advantages and performance trade-offs of network topologies for AI/HPC clusters
Design and optimize storage solutions to maximize AI/HPC cluster performance
Understand advantages and performance trade-offs of cluster storage solutions, e.g. Lustre, Ceph, etc.
Work across multiple organizations with subject matter experts from hardware, software, network, data center, and operations teams to deliver scalable, efficient, and reliable compute infrastructure

New

Network Engineer, AI Infrastructure Repair

Meta is building the next generation of AI infrastructure to power large-scale m...

Location

United States , Sarpy County, NE

Salary:

193000.00 - 271000.00 USD / Year

Ai network engineer

We are seeking an experienced AI Network Engineer to support and optimize high-p...

Location

United States , Houston

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

5+ years of experience in network engineering or infrastructure engineering
Hands-on experience with high-performance networking (InfiniBand, RDMA, RoCE)
Experience supporting GPU-based or HPC environments
Strong knowledge of data center networking (L2/L3, BGP, EVPN, VXLAN)
Familiarity with Linux systems and performance tuning
Experience with NVIDIA ecosystems (DGX, CUDA, NCCL, or similar)
Ability to diagnose low-latency and high-throughput network issues

Job Responsibility

Design, implement, and support high-performance networks for AI/ML workloads, including GPU clusters and distributed training environments
Deploy and optimize NVIDIA-based infrastructure (DGX systems, HGX platforms, or GPU clusters)
Configure and manage high-speed networking technologies such as InfiniBand, RoCE, and 100/200/400Gb Ethernet
Optimize network performance for east-west traffic, low latency, and large data throughput required for AI model training
Integrate NVIDIA software stack (CUDA, NCCL, GPU Cloud, AI Enterprise) with networking and compute environments
Troubleshoot performance bottlenecks across network, storage, and GPU interconnects
Collaborate with AI/ML engineers to ensure infrastructure meets training and inference demands
Support automation and infrastructure-as-code initiatives for scalable AI environments

What we offer

medical, vision, dental, and life and disability insurance
company 401(k) plan

Product Application Engineer - Data Center Deployment

This highly technical role supports large-scale datacenter graphics hardware and...

Location

United States , Santa Clara; Austin; Secaucus

Salary:

160960.00 - 241440.00 USD / Year

AMD

Expiration Date

Until further notice

Requirements

Datacenter customer support in virtualization-focused environments
Virtual environments (VMWare, Citrix, KVM, Microsoft, and others) and virtual machine configuration/management
Data storage, protection, deduplication, and storage-related network optimization especially with Weka, DDN, and VAST products
Working in or closely with a deployment services organization utilizing tools like Salesforce, JIRA and Confluence
Linux installation, configuration, debugging, and performance tuning
Debugging, root-cause analysis, and system-level problem solving
Site reliability engineering concepts and best practices
Server architecture, remote management, network topologies, and compute subsystem operations
Datacenter GPU software stacks such as ROCm™ or CUDA
High-performance networks for HPC and AI (RDMA/RoCE, InfiniBand)

Job Responsibility

Design, optimize, and troubleshoot virtualization solutions for high-performance datacenter GPU, CPU, and related platforms
Support customers, partners, and internal teams on virtualization topics related to AI and Machine Learning workloads
Build and configure datacenter networking environments for customer testing, validation, and deployment
Qualify and assess new virtualization capabilities to ensure alignment with customer and product requirements
Provide mentorship and technical guidance to junior engineering staff
Partner with development teams to identify and resolve hardware/software issues from early bring-up through end-of-life
Document and escalate technical issues following established procedures
Collaborate with program managers to maintain schedules, track action items, and ensure deliverables are met
Provide clear project status updates to internal leadership and customer stakeholders
Build a deep understanding of customer goals to ensure impactful technical guidance and solution delivery

Fulltime

Product Manager - AI Data Center Infrastructure

Product Manager - AI Data Center Infrastructure. We are seeking a Product Line M...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

5–10+ years of experience in data center networking, AI infrastructure, or HPC environments
Strong hands-on experience with Juniper QFX platforms and JunOS
Deep understanding of GPU architectures: NVIDIA: H100/H200, GB200/GB300, NVLink/NVSwitch AMD: MI300/MI400, Pollara NICs, Infinity Fabric
Proven expertise in scale-up GPU interconnects and scale-out Ethernet fabrics
Strong knowledge of RDMA/ROCEv2, ECN, PFC, and buffer management
Familiarity with distributed AI workloads, collective operations (NCCL, RCCL)
Hands-on troubleshooting experience with high-speed optics, AEC cables, link training, and NIC firmware
Proficiency in automation and scripting (Python, Ansible, Bash, Terraform)

Job Responsibility

AI Data Center & Fabric Architecture: Define product requirements for AI data center network architectures supporting thousands of GPUs
Develop requirements for low-latency Ethernet fabrics using Juniper QFX platforms and Apstra-based automation
Enable high-bandwidth GPU and NIC interconnects optimized for large-scale distributed training and inference workloads
GPU, NIC & Interconnect Strategy: Lead requirements definition for next-generation GPUs, NICs, and interconnect technologies, staying ahead of industry roadmaps
Drive alignment with NVIDIA and AMD ecosystems
Ensure interoperability across DAC, AEC, ACC, and optical transceivers between switches and NIC endpoints
Define scale-up paths using PCIe, NVLink, NVSwitch, ensuring GPU-to-GPU symmetry, consistency, and bandwidth determinism
Switching, Routing & Telemetry: Specify and optimize L2/L3 architectures, including EVPN-VXLAN, Class-E IPv4, and AI-optimized buffer tuning
Leverage hardware telemetry, streaming sensors, and analytics for proactive performance assurance
Drive automation using Python, Ansible, Apstra, Terraform, and related tools to enforce configuration consistency and compliance

What we offer

Health & Wellbeing: comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Personal & Professional Development: specific programs catered to helping you reach any career goals
Unconditional Inclusion: unconditionally inclusive in the way we work and celebrate individual uniqueness

Data Center Engineer

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. ...

Location

United States , Sunnyvale

Salary:

Not provided

Cerebras Systems

Expiration Date

Until further notice

Requirements

10+ years in data center design, operations, and maintenance
Proven leadership in large-scale data center environments
Deep expertise in MEP systems and critical infrastructure
Strong grasp of data center architecture, workflows, and systems integration
Hands-on experience with critical equipment and vendor management
Track record of successful equipment selection, installation, and bring-up
Experience navigating regulatory compliance and design standards
Clear communicator and collaborator across engineering and business teams
Solid understanding of construction and architectural principles
Bachelor’s in engineering or related field

Job Responsibility

Drive the design of MEP infrastructure—reviewing drawings and proposals across all project stages
Partner with vendors to spec, source, and manage key systems: generators, UPS, chillers, CDUs
Provide deep technical guidance on facility architecture, equipment, and operational systems—anchored in industry best practices
Integrate power, cooling, network, and construction systems into a cohesive data center design and operational model
Shape operational workflows—from design specs through commissioning, pilot validation, and go-live readiness
Set technical direction for internal teams and external partners—ensuring alignment with standards and execution excellence
Manage contractors and consultants—building strong vendor relationships
Ensure uptime and performance of critical infrastructure—power, cooling, and networking systems
Own QA and risk mitigation—ensuring safety and operational compliance

What we offer

Build a breakthrough AI platform beyond the constraints of the GPU
Publish and open source their cutting-edge AI research
Work on one of the fastest AI supercomputers in the world
Enjoy job stability with startup vitality
Our simple, non-corporate work culture that respects individual beliefs

Manager, Data Center Network Deployment & Support

Meta is hiring a Data Center Network Deployment & Support Manager to lead the de...

Location

United States , Aiken

Salary:

162000.00 - 227000.00 USD / Year

Sr Principal Presales, Systems Engineer - Cloud & AI Networking

Sr Principal Presales, Systems Engineer - Cloud & AI Networking. This role has b...

Location

United States

Salary:

194500.00 - 456500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree in engineering or related field required, advanced degree preferred
15+ years of technical experience in network infrastructure Architecture, design and solutions consulting, designing large-scale AI, Cloud Data Center in Hyperscale networking environments
15+ years of industry experience applying technical expertise with JunOS, EOS, IOS and hyperscale network architecture frameworks
JNCIE or equivalent certification
Deep hands-on expertise with hyperscale routing, MPLS traffic engineering, switching, SDN overlays (EVPN/VXLAN, MP-BGP), Network Fabrics and DCI solutions, network provisioning, automation and monitoring (Apstra, Paragon, NETCONF/REST APIs, YANG)
Familiarity with major networking silicon, hardware platforms and related software (e.g., Juniper, Arista, Cisco, SONiC, Cumulus etc.)
SME in Virtualization technologies on x86 and scaling using technologies such DPDK, SR-IOV, SmartNICs etc.
Proven success in complex pre-sales roles, with a strong ability to build relationships with senior technical and C-Level stakeholders
Experience with programming/scripting (Python, APIs, JSON etc.) to enable solution integration and automation
Strong communication, presentation, and interpersonal skills with the ability to influence diverse technical and business audiences

Job Responsibility

Act as a primary technical architect early in complex sales cycles, working independently or with Sales Engineers to translate business needs into scalable technical solutions
Architect end-to-end networking infrastructure solutions with strong expertise in data center, AI networking, hyperscale environments, and WAN technologies
Lead solution design and customization, orchestrating input from specialists, systems engineers, and product teams to meet customer requirements
Deliver compelling demos, proof-of-concepts, and technical presentations that clearly articulate HPE Networking’s value in customer use cases
Engage with hyperscalers, large enterprises, service providers and technology partners to co-design solutions addressing emerging challenges across industries and workloads
Influence technical strategy throughout deal validation, solutioning, and initial execution, ensuring smooth handoff to delivery teams
Develop best practices, enablement collateral, and architecture playbooks to scale solutions internally and with partners
Mentor and provide technical leadership to junior technologists and sales engineering teams
Navigate and adapt through complex technology transitions, maintaining thought leadership in networking innovations and industry trends

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

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Network Systems Engineer - Data Center AI Network Engineer

Job Description

Job Responsibility

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