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Director, Engineering – Software Engineering and AI Inferencing Platforms

NVIDIA· Mgmt, Sys SW
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Hybrid (Hanoi, Vietnam), Hybrid (Ho Chi Minh City, Vietnam)full-timePosted 7mo ago

About the role

Leadership role to build and scale engineering teams in Vietnam and drive design, architecture, and delivery of high-performance system software platforms powering NVIDIA’s AI products and services, with a focus on AI inferencing platforms, data science workloads, and open-source/enterprise ecosystems.

Responsibilities

  • Build, lead and scale world-class engineering teams in Vietnam, collaborating with global counterparts across system software, data science, and AI platforms.
  • Drive the design, architecture, and delivery of high-performance system software platforms that power NVIDIA’s AI products and services.
  • Partner with global teams across Machine Learning, Inference Services, and Hardware/Software integration to ensure performance, reliability, and scalability.
  • Oversee the development and optimization of AI delivery platforms in Vietnam, including NIMs, Blueprints, and other flagship NVIDIA services.
  • Engage with open-source and enterprise data and workflow ecosystems (e.g., Temporal, Gitlab DevOps Platform, RAPIDS, NeMo Curator, Morpheus) to advance accelerated AI factory, data science and data engineering workloads.
  • Champion continuous integration, continuous delivery, and engineering best practices across multi-site R&D Centers.
  • Collaborate with product management and cross-functional stakeholders to ensure enterprise readiness and customer impact.
  • Develop and deploy standard processes for large-scale, distributed system testing, encompassing stress, scale, failover, and resiliency testing.
  • Ensure security and compliance testing aligns with industry standards for cloud and data center products.
  • Mentor and develop talent within the organization, fostering a culture of quality and continuous improvement.

Qualifications

  • Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, or related field.
  • 15+ overall years of software engineering experience with 6+ years in senior leadership roles.
  • Proven record of managing large, high-performing software teams and delivering complex AI/ML or data-driven products.
  • Expertise in cloud, data, and accelerated computing technologies (e.g., Spark, Kubernetes, Dask, Python ecosystem, CUDA).
  • Experience collaborating with open-source communities and enterprise partners.
  • Strong leadership, communication, and cross-functional coordination skills.
  • Strategic mindset with hands-on technical depth in AI, system software, or large-scale data platforms.

Skills

Required:Leadership and team buildingSystem software architectureAI/ML platform experienceCloud, data, accelerated computing
Last updated Jul 3, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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