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NVIDIA

Designs the chips and software that power AI

Manager – Technical Delivery

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • A BS, MS, PhD, or equivalent professional experience in Computer Science, Electrical Engineering, Computer Engineering, Physics, Mathematics, or a related technical field.
  • At least 10 years of progressive technical experience in data center infrastructure or equivalent experience, and at least 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, servers, networking, and virtualization.
  • Deep understanding of AI technology and its integration with data center infrastructure.
  • Deep expertise in networking fundamentals, the TCP/IP stack, data center architecture, and InfiniBand networks, with hands-on experience in medium- to large-scale HPC/AI environments.
  • Demonstrated experience overseeing end-to-end technical delivery of large-scale AI/HPC infrastructure projects, focusing on performance, reliability, and customer satisfaction.
  • Ability to lead, coach, and develop technical teams, foster collaboration, and drive accountability.
  • Fluency in English and Mandarin, including verbal and written customer-facing communication.
  • Based in APAC, with understanding of the APAC business model and the ability to support regional delivery needs and collaborate across time zones.
  • Proven track record of resolving complex technical challenges and improving 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 across APAC, 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 APAC, focusing on InfiniBand networking, HPC clusters, and AI orchestration tools such as Base Command Manager.
  • Lead technical decisions for complex delivery projects and resolve challenges involving InfiniBand networks, data center architecture, network automation, and GPU-accelerated infrastructure.
  • Improve delivery 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 delivery strategies with NVIDIA’s product roadmap.
  • Build and maintain relationships with customers, including Chinese customers, and partners across APAC; act as the technical leadership point of contact for large-scale AI/HPC projects and address strategic technical and business needs.
  • Ensure adherence to technical best practices, compliance standards, and quality requirements, while driving accountability for project timelines, budgets, and customer satisfaction.
  • Coach and mentor team members to strengthen their technical skills in InfiniBand, HPC, AI infrastructure, and NVIDIA data center products, enabling independent delivery and career growth.
  • Monitor team performance and project progress, and communicate delivery status, challenges, and solutions to senior leadership.

Desired Qualifications

  • Linux, networking (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.
  • Familiarity with cloud networks including AWS, GCP, and Azure, and hybrid cloud infrastructure delivery in APAC.
  • Experience leading technical teams in professional services or a technology vendor environment, focused on top CSP customers in APAC.
  • Deep understanding of AI/ML workloads and their integration with HPC/InfiniBand infrastructure and full-stack data center technologies, with hands-on experience optimizing GPU-accelerated system performance.

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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