Director, Engineering – Software Engineering

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