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NVIDIA

Designs the chips and software that power AI

Manager AI/HPC Infrastructure Technical Delivery - India

Engineering LeadershipConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • BS, MS, PhD, or equivalent professional experience in Computer Science, Electrical Engineering, Computer Engineering, Physics, Mathematics, or a related technical field.
  • 10+ years of progressive technical experience in data center infrastructure, or equivalent experience, and 5+ years of people management experience leading a technical team of 10 or more members.
  • Strong technical background in NVIDIA data center products, including networking solutions, InfiniBand, AI orchestration tools such as Base Command Manager, GPU-accelerated infrastructure, and full-stack data center technologies including storage, server, networking, and virtualization.
  • Deep expertise in networking fundamentals, the TCP/IP stack, data center architecture, and InfiniBand networks, with hands-on experience in medium- to large-scale high-performance computing and artificial intelligence environments.
  • Demonstrated experience overseeing end-to-end technical delivery of large-scale AI/HPC infrastructure projects, with a focus on performance, reliability, and customer satisfaction.
  • Strong people management skills, including the ability to lead, coach, and develop technical teams, foster collaboration, and drive accountability.
  • Excellent customer-facing and communication skills, verbal and written in both required languages, for engaging with customers, partners, and cross-functional teams across the India region.
  • Understanding of the India business model and ability to address unique technical and business requirements, support regional delivery needs, and collaborate across time zones.
  • Proven track record of resolving complex technical challenges and driving continuous improvement in technical delivery processes.
  • Ability to balance technical oversight with people management responsibilities.

Responsibilities

  • Lead, manage, and develop a technical team of a few to dozens of Senior Networking Solutions Architects and technical specialists, overseeing hiring, onboarding, performance management, career development, coaching, and retention.
  • Provide overall technical control for InfiniBand, HPC, and AI cluster delivery projects in the region, ensuring technical excellence, adherence to NVIDIA data center product standards, and alignment with customer requirements.
  • Oversee the design, deployment, and operational reliability of large-scale AI/HPC infrastructure for new and existing customers in India and APAC, focusing on InfiniBand networking, HPC clusters, and AI orchestration tools such as Base Command Manager.
  • Lead technical decision-making for complex delivery projects and resolve critical technical challenges involving InfiniBand networks, data center architecture, network automation, and GPU-accelerated infrastructure.
  • Drive continuous improvement in delivery processes by optimizing workflows for network provisioning, system design, automation, and post-deployment monitoring, logging, alerting, and support.
  • Collaborate with engineering, sales, product, and support teams to align technical delivery strategies with NVIDIA’s product roadmap.
  • Build and maintain relationships with customers and partners across India and APAC, serving as the technical leadership point of contact for large-scale AI/HPC delivery projects.
  • Ensure the team follows technical best practices, compliance standards, and NVIDIA quality requirements while driving accountability for project timelines, budgets, and customer satisfaction.
  • Monitor team performance, track project progress, and communicate technical delivery status, challenges, and solutions to senior leadership in a clear, data-driven manner.

Desired Qualifications

  • Linux or networking certifications such as CCNP, CCIE, or HCIE, or NVIDIA-related certifications.
  • Extensive experience with HPC job schedulers such as Slurm and PBS and cluster management technologies such as Base Command Manager.
  • Experience leading technical teams in a professional services or technology vendor environment with top cloud service provider, cloud, or hyperscale customers in India.
  • Deep understanding of AI/ML workloads, their integration with HPC/InfiniBand infrastructure, and full-stack data center technologies, with hands-on experience optimizing performance for GPU-accelerated systems.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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