HPC Network Engineer

22 hours ago

Delhi, India Stealth AI Startup Full time
Job Title:

HPC Network EngineerLocation:

Hyderabad or MumbaiExperience:

Minimum 5 years of relevant network experience

Job Overview:We are seeking a highly skilled and experienced

HPC Network Engineer

to join our team. The ideal candidate will have a strong background in setting up and managing high-performance computing (HPC) networks with cutting-edge technologies such as 400G and 800G network connectivity. This role involves designing, implementing, and troubleshooting complex network architectures tailored to HPC and GPU-based systems. The engineer will also play a critical role in enabling efficient GPU interconnects and scaling AI and HPC workloads.

Key Responsibilities:

HPC Network Deployment :Design, deploy, and maintain HPC networks with 400G/800G connectivity.Optimize network performance for large-scale computing environments.Advanced Networking Expertise :Deep understanding and hands-on experience with

RoCE (RDMA over Converged Ethernet)

and

Infiniband

technologies.Collaborate with cross-functional teams to architect and implement robust HPC networking solutions.Architectural Design and Communication :Develop and present complex network architectures to technical and non-technical stakeholders.Translate customer requirements into scalable and efficient network designs.GPU Communication Frameworks :Expertise in

NVLink

and

NVSwitch

for high-speed GPU-to-GPU communication.Optimize interconnects for distributed training and inference workloads.Technology Expertise :Hands-on experience with switches and networking equipment from

Broadcom, Arista, Mellanox, Juniper, Cisco, SONiC, or Dell .Familiarity with

NVIDIA, AMD, and Intel HPC

architectures and their network integration requirements.Storage Networking for HPC and AI :Integrate

GPUDirect Storage

and

NVMe-oF

for efficient data movement between storage and GPUs.Optimize data pathways for high-speed storage access in HPC workloads.Problem Solving and Troubleshooting :Monitor, analyze, and troubleshoot network performance issues.Implement monitoring tools to ensure high availability and reliability of the HPC network.Customer-Centric Solutions :Engage with customers to understand their requirements and deliver tailored solutions on the fly.Provide ongoing support and documentation for implemented solutions.Comprehensive Network Knowledge :Expertise in end-to-end network monitoring, analysis, troubleshooting, and implementation.Stay updated on industry trends, standards, and best practices for HPC networking.AI and HPC Workload Integration :Support hybrid workloads combining AI and traditional HPC tasks.Scale large language models and scientific simulations across GPU clusters with minimal latency.

Required Skills and Qualifications:

Minimum 5 years of hands-on experience in core network engineering.Proven expertise in configuring and managing

400G or 800G

network environments.Strong knowledge of

RoCE

and

Infiniband

protocols.Hands-on experience with

NVLink

and

NVSwitch

in GPU-based environments.Familiarity with networking equipment and technologies from vendors such as

Broadcom, Arista, Mellanox, Juniper, Cisco, SONiC, or Dell .Experience working with

NVIDIA, AMD, or Intel HPC and GPU architectures .Ability to conceptualize and explain complex network designs to diverse audiences.Strong analytical and troubleshooting skills in high-performance environments.Excellent communication and customer engagement skills to address requirements and provide solutions effectively.

Preferred Qualifications:Industry certifications such as CCNP, CCIE, or equivalent.Experience in scripting and automation for network operations.Exposure to large-scale HPC deployments in data center environments.Knowledge of software-defined networking (SDN) and virtualized networking environments.Familiarity with AI-specific frameworks like

TensorFlow ,

PyTorch , or

Horovod

in distributed setups.

Why Join Us?Work on cutting-edge HPC and GPU-based technologies.Collaborate with industry leaders in AI and cloud infrastructure.Competitive compensation and growth opportunities.Opportunity to work in a dynamic and fast-paced environment.

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