HPC Network Engineer

1 day ago

India Stealth AI Startup Full time

Job Title: HPC Network Engineer

Location: Hyderabad or Mumbai

Experience: 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:


  1. Minimum 5 years of hands-on experience in core network engineering.
  2. Proven expertise in configuring and managing 400G or 800G network environments.
  3. Strong knowledge of RoCE and Infiniband protocols.
  4. Hands-on experience with NVLink and NVSwitch in GPU-based environments.
  5. Familiarity with networking equipment and technologies from vendors such as Broadcom, Arista, Mellanox, Juniper, Cisco, SONiC, or Dell .
  6. Experience working with NVIDIA, AMD, or Intel HPC and GPU architectures .
  7. Ability to conceptualize and explain complex network designs to diverse audiences.
  8. Strong analytical and troubleshooting skills in high-performance environments.
  9. Excellent communication and customer engagement skills to address requirements and provide solutions effectively.


Preferred Qualifications:

  1. Industry certifications such as CCNP, CCIE, or equivalent.
  2. Experience in scripting and automation for network operations.
  3. Exposure to large-scale HPC deployments in data center environments.
  4. Knowledge of software-defined networking (SDN) and virtualized networking environments.
  5. 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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