Director, Engineering – Software Engineering and AI Inferencing Platforms at NVIDIA

Hanoi, Hanoi, Vietnam

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Not SpecifiedCompensation

Expert & Leadership (9+ years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, High-Performance ComputingIndustries

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

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

Skills

System Software

AI Platforms

Machine Learning

Inference Services

Hardware/Software Integration

NIMs

Blueprints

Temporal

Gitlab DevOps

RAPIDS

NeMo Curator

Morpheus

CI/CD

Distributed Systems Testing

Security Testing

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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