NVIDIA

1 week ago

Director, Engineering – Software Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Lead and scale engineering teams in Vietnam to design, architect, and deliver high-performance system software platforms powering NVIDIA’s AI products and services. Collaborate with global ML, inference, and hardware/software integration teams to drive performance, reliability, and scalability. Oversee AI delivery platforms and large-scale distributed testing, align security and compliance testing with industry standards, and mentor talent across multi-site R&D centers.

Location: Hanoi, Ho Chi Minh City

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Director level

Key Responsibilities

•Build, lead, and scale 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 powering NVIDIA AI products and services.
•Partner with global teams across Machine Learning, Inference Services, and Hardware/Software integration to ensure performance, reliability, and scalability.
•Oversee development and optimization of AI delivery platforms in Vietnam (including NIMs, Blueprints, and other flagship NVIDIA services).
•Establish continuous integration/delivery and large-scale distributed system testing processes (stress, scale, failover, resiliency), and ensure security and compliance testing aligns with industry standards.

Key Requirements

•Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, or a related field.
•15+ overall years of software engineering experience with 6+ years in senior leadership roles.
•Proven record 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.

Experience:15+ yearsAI/MLOpen source

Education:Master's in Computer Science, Computer Engineering

Skills:LeadershipCommunicationCross-functional coordinationMentorshipStrategic thinking

Tech Stack:TemporalGitlabRAPIDSNeMo CuratorMorpheusSparkKubernetesDaskPythonCUDAMicroservicesDistributed systemsRAGEmbeddingsText searchNIMsBlueprints

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 week ago

Director, Engineering – Software Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Hanoi, Ho Chi Minh City

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Director level

Key Responsibilities

•Build, lead, and scale 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 powering NVIDIA AI products and services.
•Partner with global teams across Machine Learning, Inference Services, and Hardware/Software integration to ensure performance, reliability, and scalability.
•Oversee development and optimization of AI delivery platforms in Vietnam (including NIMs, Blueprints, and other flagship NVIDIA services).
•Establish continuous integration/delivery and large-scale distributed system testing processes (stress, scale, failover, resiliency), and ensure security and compliance testing aligns with industry standards.

Key Requirements

•Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, or a related field.
•15+ overall years of software engineering experience with 6+ years in senior leadership roles.
•Proven record 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.

Experience:15+ yearsAI/MLOpen source

Education:Master's in Computer Science, Computer Engineering

Skills:LeadershipCommunicationCross-functional coordinationMentorshipStrategic thinking

Tech Stack:TemporalGitlabRAPIDSNeMo CuratorMorpheusSparkKubernetesDaskPythonCUDAMicroservicesDistributed systemsRAGEmbeddingsText searchNIMsBlueprints

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor