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.
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