Stealth AI Startup | HPC Network Engineer
4 days ago
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:
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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