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Director, Engineering – Software Engineering

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Onsite

Director, Engineering – Software Engineering

NVIDIA

Director, Engineering – Software Engineering

Skills

Data EngineeringDeep LearningPythonProduct ManagementData ScienceMicroservicesRGitLabMachine LearningAIKubernetesCompliance

2 months ago

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Important information


Contract type:

Permanent

Location:

Hanoi, Vietnam

Work mode:

Onsite

Published on:

22 August 2026

What they need


NVIDIA is widely recognized as one of the world’s most desirable employers, leading groundbreaking innovation in Artificial Intelligence (AI), High-Performance Computing (HPC), and Visualization. Our technologies, including the GPU, have transformed industries—from AI Inferencing and AI factory Optimization, and design to data science. Due to continued growth, NVIDIA Vietnam R&D Center (VRDC) is expanding its engineering leadership to accelerate our AI data and factory platform initiatives.

What You’ll Be Doing

  • 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.

What We Need To See

  • 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.

Ways To Stand Out From The Crowd

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

At NVIDIA, you’ll join a team of world-class innovators shaping the future of computing. Our Vietnam R&D Center is a key part of NVIDIA’s global AI and Software Engineering ecosystem—collaborating across continents to deliver groundbreaking products that redefine what’s possible. If you’re a creative, driven engineering leader passionate about building technology that changes the world, we’d love to hear from you.

, , JR2021061

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