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.
Skills Required
- Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, or related field
- 15+ years overall software engineering experience
- 6+ years in senior leadership roles managing large software teams
- Proven record 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
- Hands-on technical depth in AI, system software, or large-scale data platforms
- 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
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
-
Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
-
Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
