Director, Engineering – Software Engineering

NVIDIA NVIDIA · Semiconductors · Hanoi, Vietnam +1

NVIDIA is seeking an Engineering Director to lead and scale software engineering teams in Vietnam, focusing on AI data and factory platform initiatives. The role involves driving the architecture and delivery of high-performance system software platforms for NVIDIA's AI products, overseeing AI delivery platforms, and engaging with data and workflow ecosystems. Requires extensive software engineering leadership experience, expertise in cloud, data, and accelerated computing, and a strategic mindset with technical depth in AI or large-scale data platforms.

What you'd actually do

  1. Build, lead and scale world-class engineering teams in Vietnam, collaborating with global counterparts across system software, data science, and AI platforms.
  2. Drive the design, architecture, and delivery of high-performance system software platforms that power NVIDIA’s AI products and services.
  3. Partner with global teams across Machine Learning, Inference Services, and Hardware/Software integration to ensure performance, reliability, and scalability.
  4. Oversee the development and optimization of AI delivery platforms in Vietnam, including NIMs, Blueprints, and other flagship NVIDIA services.
  5. 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.

Skills

Required

  • software engineering leadership
  • managing large, high-performing software teams
  • delivering complex AI/ML or data-driven products
  • cloud technologies
  • data technologies
  • accelerated computing technologies
  • Spark
  • Kubernetes
  • Dask
  • Python ecosystem
  • CUDA
  • collaboration with open-source communities
  • collaboration with enterprise partners
  • leadership skills
  • communication skills
  • cross-functional coordination skills
  • strategic mindset
  • technical depth in AI
  • technical depth in system software
  • technical depth in large-scale data platforms

Nice to have

  • Experience building and scaling AI/ML Inferencing platforms from concept to production
  • GPU programming
  • CUDA optimization
  • system performance engineering
  • microservices
  • distributed systems
  • high-performance data architectures
  • Contributions to open-source projects
  • developer ecosystems
  • deep learning
  • RAG
  • embeddings
  • modern text search frameworks

What the JD emphasized

  • delivering complex AI/ML or data-driven products
  • Experience building and scaling AI/ML Inferencing platforms from concept to production.

Other signals

  • leading engineering teams
  • delivering complex AI/ML or data-driven products
  • scaling AI/ML Inferencing platforms