NVIDIA

2 weeks ago

System Software Engineer, AI Data Platform

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 minutes agoStatus: Live

Job Summary

Build and improve scalable automation systems that support the development, validation, and deployment of core software across cloud and on-prem environments. Develop infrastructure and tools for software build, test, and deployment, and create benchmarking and performance measurement for large-scale software and hardware platforms. Collaborate with engineering teams, analyze logs and performance to diagnose issues, and continuously improve platform automation and engineering efficiency.

Location: Ho Chi Minh City, Hanoi

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Develop and maintain infrastructure and tools that automate software build, test, and deployment workflows.
•Build and improve performance measurement and benchmarking systems for large-scale software and hardware platforms.
•Collaborate with engineering teams to understand requirements and deliver reliable, scalable solutions.
•Analyze system performance and logs to identify issues and contribute to continuous improvements.
•Participate in design discussions to improve platform automation and engineering efficiency.

Key Requirements

•Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field, or equivalent experience.
•At least 2+ years of software engineering experience in infrastructure, backend systems, distributed systems, or automation.
•Strong programming skills in at least one of: C++, Python, Go, or similar languages.
•Experience working with software systems, automation frameworks, or CI/CD pipelines.
•Strong problem-solving and debugging skills.

Experience:2+ yearsAI/MLHigh-performance computingDistributed systemsAutomationCloudOn-premises

Education:Bachelor's in Computer Science, Computer Engineering

Skills:Problem-solvingDebuggingCommunicationTeamworkCollaborationContinuous improvement

Tech Stack:C++PythonGoCI/CDDockerKubernetes

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

2 weeks ago

System Software Engineer, AI Data Platform

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 minutes agoStatus: Live

Job Summary

Location: Ho Chi Minh City, Hanoi

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Develop and maintain infrastructure and tools that automate software build, test, and deployment workflows.
•Build and improve performance measurement and benchmarking systems for large-scale software and hardware platforms.
•Collaborate with engineering teams to understand requirements and deliver reliable, scalable solutions.
•Analyze system performance and logs to identify issues and contribute to continuous improvements.
•Participate in design discussions to improve platform automation and engineering efficiency.

Key Requirements

•Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field, or equivalent experience.
•At least 2+ years of software engineering experience in infrastructure, backend systems, distributed systems, or automation.
•Strong programming skills in at least one of: C++, Python, Go, or similar languages.
•Experience working with software systems, automation frameworks, or CI/CD pipelines.
•Strong problem-solving and debugging skills.

Experience:2+ yearsAI/MLHigh-performance computingDistributed systemsAutomationCloudOn-premises

Education:Bachelor's in Computer Science, Computer Engineering

Skills:Problem-solvingDebuggingCommunicationTeamworkCollaborationContinuous improvement

Tech Stack:C++PythonGoCI/CDDockerKubernetes

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