Director, Engineering - Software Engineering

About This Role

Directing and scaling world-class engineering teams is the core of this leadership role, driving the design and delivery of high-performance system software platforms for NVIDIA's AI products. This position suits an experienced engineering leader with a strategic mindset and deep technical expertise in AI, system software, or large-scale data platforms.

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

Requirements

• 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

Nice to have:

• Experience building and scaling AI/ML Inferencing platforms from concept to production
• Background in GPU programming, CUDA optimization, or system performance engineering